Towards Mechanism‐Informed Treatments for Mental Health
Department of Pharmacology, Faculty of Medicine and Nursing University of the Basque Country (UPV/EHU) Leioa Spain
Department of Physiology, School of Biomedical Sciences, Faculty of Health Sciences University of The Witwatersrand Johannesburg South Africa
Department of Psychology University of Sydney Camperdown New South Wales Australia
Global and Tropical Health, Menzies School of Health Research Charles Darwin University Darwin Northern Territory Australia
Department of Pharmacological and Biomolecular Sciences “Rodolfo Paoletti” Università Degli Studi di Milano Milano Italy
IFEC‐CONICET, Departamento de Farmacología Otto Orsingher, Facultad de Ciencias Químicas Universidad Nacional de Córdoba Córdoba Argentina
CNC‐UC‐Center for Neuroscience and Cell Biology University of Coimbra Coimbra Portugal
CiBB‐Centre for Innovative Biomedicine and Biotechnology University of Coimbra Coimbra Portugal
Institute for Interdisciplinary Research, Doctoral Programme in Experimental Biology and Biomedicine (PDBEB) University of Coimbra Coimbra Portugal
Behavioural Neurosciences Laboratory, Department of Psychiatry Monash University Clayton Victoria Australia
Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center Université Laval Quebec Quebec Canada
Department of Psychiatry, College of Medicine University of Saskatchewan Saskatoon Saskatchewan Canada
Departament of Organic Chemistry, School of Chemistry, Faculty of Chemistry and Pharmacy Pontificia Universidad Católica de Chile Santiago Chile
Florey Institute of Neuroscience and Mental Health University of Melbourne Victoria Australia
Douglas Research Center Montreal Quebec Canada
Research Unit of Neuroinflammatory and Cardiovascular Pharmacology, Faculty of Sciences University of Dschang Cameroon
Department of Psychiatry McGill University Montreal Quebec Canada
Interdepartmental Neuroscience Program Yale University New Haven Connecticut USA
IMPACT, The Institute for Mental and Physical Health and Clinical Translation Deakin University, School of Medicine Geelong Australia
Institute for Neuroscience and Cardiovascular Research University of Edinburgh Edinburgh UK
Simons Initiative for the Developing Brain University of Edinburgh Edinburgh UK
Muir Maxwell Epilepsy Centre University of Edinburgh Edinburgh UK
University of Bordeaux, INSERM, Neurocentre Magendie, U1215 Bordeaux France
Graduate Program in Health Sciences Federal University of Health Sciences of Porto Alegre (UFCSPA) Porto Alegre Brazil
A.I. Virtanen Institute for Molecular Sciences, Faculty of Health Science University of Eastern Finland Kuopio Finland
Institute of Biophysics Carlos Chagas Filho Federal University of Rio de Janeiro Rio de Janeiro Brazil
D'Or Institute for Research and Education (IDOR) Rio de Janeiro Brazil
Leibniz Institute for Neurobiology (LIN), Synapse, Brain & Cognition Group Magdeburg Germany
Center for Oxidative Stress Studies, Department of Biochemistry, Institute of Basic Health Sciences Federal University of Rio Grande do Sul Porto Alegre RS Brazil
Neuroscience Institute and Department of Human Biology University of Cape Town Cape Town South Africa
Centre for Psychedelic Research, Department of Brain Sciences Imperial College London London UK
* Correspondence:Iker Bengoetxea de Tena (iker.bengoetxea@ehu.eus)
Farhanah Nabilah Sallie (1894684@students.wits.ac.za)
Arvie Rodriguez Abiero (arvie.abiero@menzies.edu.au)
Beatrice Rizzi (beatrice.rizzi@unimi.it)
Leandro Gabriel Champarini (leandro.champarini@unc.edu.ar)
Elisa Corti (elisacorti@cnc.uc.pt)
ABSTRACT
Neuropsychiatric disorders represent a significant global health burden. Despite decades of research, current treatments typically provide only symptomatic relief, rather than addressing the underlying mechanisms of these conditions. Historically, research focused on the dopaminergic and serotonergic systems, which are deeply involved in the pathophysiology of many mental health disorders, including depression, schizophrenia, anxiety, autism spectrum disorder (ASD), and different substance use disorders, including alcohol use disorder (AUD). However, therapies targeting these systems have limitations, often only producing partial symptom relief plus compliance‐limiting side effects. This highlights the need for improved treatments that may emerge from a broader understanding of the neurobiological bases of these conditions, especially neurochemical systems beyond dopamine and serotonin. Additional monoamines (e.g., histamine, acetylcholine, norepinephrine), neurolipid systems (e.g., endocannabinoids), and diverse signaling molecules such as neuropeptides, trace amines, and cytokines are increasingly recognized as key players in the dysfunction of neural circuits. In this review, which originated from the International Society for Neurochemistry (ISN)/Journal of Neurochemistry 5th Flagship School in October 2024 held in Naxos, Greece, we describe the importance of these neuromodulatory systems in the pathophysiology of select neuropsychiatric disorders, discuss their potential as targets for therapeutic intervention, exploring how they may offer more effective, mechanism‐based treatments. We also highlight recent clinical trials, underscoring the progress in advancing towards clinical application, as well as sex‐specific neurobiological differences, a historically overlooked, yet fundamental determinant of the pathophysiology of neuropsychiatric disorders. We propose that expanding our focus beyond traditional monoamines offers a promising avenue for the development of new, disease‐modifying treatments that can more effectively address the underlying causes of neuropsychiatric disorders. By targeting these pathways, we believe it may be possible to develop therapies that restore balance to dysregulated brain circuits and improve long‐term outcomes for patients.
Boxed Text
Graphical
Neuropsychiatric disorders impose a major global health burden, and current treatments, which historically mostly targeted dopamine and serotonin dysfunctions, often provide only partial, symptomatic relief. This review highlights emerging evidence that additional neuromodulator systems, including acetylcholine, norepinephrine, and endocannabinoids, among others, also play critical roles in brain circuit impairment across conditions such as depression, schizophrenia, anxiety, autism spectrum disorder, and alcohol use disorder. Expanding therapeutic strategies to these pathways, while considering sex‐specific neurobiology as a key factor impacting disease progression and therapeutic response, may enable more effective, mechanism‐based treatments that restore circuit balance and improve long‐term outcomes for affected patients. Figure created using DALL·E (accessed April 2026) and refined by the authors.
Boxed Text
- 2‐AG
- 2‐arachidonoylglycerol
- 5‐HT
- serotonin
- 5‐HTT
- 5‐HT transporter
- ACh
- acetylcholine
- AChE
- acetylcholinesterase
- ADHD
- attention deficit hyperactivity disorder
- AEA
- anandamide
- ASD
- autism spectrum disorder
- AUD
- alcohol use disorder
- AUDIT
- Alcohol Use Disorders Identification Test
- BDNF
- brain‐derived neurotrophic factor
- cAMP
- adenosine monophosphate
- CAT
- choline acetyltransferase
- CB1
- cannabinoid receptor 1
- CB2
- cannabinoid receptor 2
- CBD
- cannabidiol
- Cnr1
- cannabinoid receptor 1 gene
- Cnr2
- cannabinoid receptor 2 gene
- CNS
- central nervous system
- COMT
- catechol‐O‐methyltransferase
- CRF
- corticotropin‐releasing factor
- DA
- dopamine
- DSM‐5
- Diagnostic and Statistical Manual of Mental Disorders‐5
- E/I
- excitatory/inhibitory
- EAAT2
- excitatory amino acid transporter 2
- eCBs
- endocannabinoids
- ECS
- eCB system
- GAD
- generalized anxiety disorder
- GAD67
- glutamic acid decarboxylase 67
- GLP‐1
- glucagon‐like peptide‐1
- GLP‐1R
- GLP‐1 receptor
- GlyT1
- glycine transporter 1
- GPCRs
- G protein‐coupled receptors
- GWAS
- Genome‐Wide Association Studies
- HPA
- hypothalamic‐pituitary‐adrenal
- HPHPA
- 3‐(3‐hydroxyphenyl)‐3‐hydroxypropionic acid
- IC
- insular cortex
- IDO
- indoleamine 2,3‐dioxygenase
- IL‐1β
- interleukin‐1β
- IL‐6
- interleukin‐6
- KYN
- kynurenine
- LC
- locus coeruleus
- LPS
- lipopolysaccharide
- mAChR
- muscarinic acetylcholine receptors
- MAO
- monoamine oxidase
- MDD
- major depressive disorder
- MGL
- monoacylglycerol lipase
- MS
- medial septum
- MSNs
- medium spiny neurons
- NAc
- nucleus accumbens
- nAChR
- nicotinic acetylcholine receptors
- NE
- norepinephrine
- NGF
- nerve growth factor
- NLRP3
- (NOD)‐like receptor pyrin domain containing 3
- NT‐3
- neurotrophin‐3
- NT‐4/5
- neurotrophin‐4/5
- OEA
- oleoyl‐ethanolamide
- PAMs
- positive allosteric modulators
- PANSS
- Positive and Negative Syndrome Scale
- PDE
- phosphodiesterase
- PFC
- prefrontal cortex
- PRS
- polygenic risk scores
- QUIN
- quinolinic acid
- ROS
- reactive oxygen species
- SNP
- single nucleotide polymorphism
- SNRIs
- serotonin and noradrenaline reuptake inhibitors
- SSRIs
- serotonin reuptake inhibitors
- TAARs
- trace amine‐associated receptors
- TH
- tyrosine hydroxylase
- TMS
- transcranial magnetic stimulation
- TMT
- trimethylthiazoline
- TNF‐α
- tumor necrosis factor‐alpha
- TPH2
- tryptophan hydroxylase 2
- TREM2
- triggering receptor expressed on myeloid cells 2
- TrkC
- tropomyosin receptor kinase C
- VPA
- valproic acid
- VTA
- ventral tegmental area
- YLD
- years lived with disability
1Introduction
Neuropsychiatric conditions, including depression, schizophrenia, anxiety, and substance use disorders, represent a significant global health burden, contributing to substantial disability, reduced quality of life, and socioeconomic costs. Despite decades of research, current treatments are ineffective for many individuals, in part due to the complex, heterogeneous, and often poorly understood neurochemical alterations leading to these conditions. A more holistic understanding of brain circuits and molecular pathways is essential to move beyond current treatments, mostly symptomatic relief, towards mechanism‐informed therapies. Dopamine (DA) and serotonin (5‐HT) play an essential role in regulating a broad range of physiological processes involving the central nervous system (CNS) (Azizi 2022; Ng et al. 2015). As such, research on these monoamines has been central in biological psychiatry, and dysfunctions in the dopaminergic and serotonergic systems have been linked to the pathophysiology of many mental health conditions. However, we now know this is an overly simplistic viewpoint, and herein we canvass a more complex picture of how a multitude of signaling systems are implicated in various aspects of mental health conditions and may well represent novel therapeutic targets that ultimately enhance patient care.
Historically, the DA hypothesis of schizophrenia was developed in the early 1960s and stated that positive symptoms experienced by patients were due to hyperactivity of the dopaminergic system (Nayak et al. 2025), and indeed until very recently, antipsychotic drugs used to treat schizophrenia were predominantly dopamine receptor antagonists. These agents have been used despite failing to alleviate all symptoms, particularly cognitive aspects, and can in fact further exacerbate negative symptoms (Dudzik et al. 2024). For neurodevelopmental conditions such as autism spectrum disorder (ASD), the currently most prescribed drugs, such as risperidone and aripiprazole, are also based on dopamine receptor antagonism/partial agonism (Won et al. 2013). The effectiveness of these agents in the treatment of ASD suggests underlying overactive D2‐mediated pathways in the cortico‐striato‐thalamo circuit; however, the neurobiological basis of ASD remains only partially defined, and the effects of long‐term therapy are still under debate (Aman et al. 2015; Manter et al. 2025). DA neurotransmission is also a fundamental component of the brain reward system. As such, the dopaminergic system has additionally been studied in the context of addiction. As drugs of abuse are inherently rewarding (Marsden 2006; Volkow et al. 2011), many studies have (sometimes unnecessarily) focused on understanding the dynamics of DA in substance use disorders. Despite the increasing social and economic burden related to substance use disorders, current treatments such as naltrexone and buprenorphine do not guarantee high success rates. For example, more than 70% of patients who undergo treatment for alcohol use disorder (AUD) relapse within a year (Nguyen et al. 2020).
The 5‐HT link to depression was first proposed in the late 1960s by Alec Coppen's hypothesis, who linked the onset of depression to a decrease in the activity of the serotonergic system, leading to advances in 5‐HT research and pharmaceutical applications (Bremshey et al. 2024; Coppen 1967). Since then, both animal and human studies have provided evidence supporting an imbalanced serotonergic system in several other psychiatric disorders such as anxiety and schizophrenia (Bremshey et al. 2024; Pourhamzeh et al. 2022). The role of 5‐HT in psychiatric disorders is often discussed considering three main domains: (1) genetic predisposition and gene‐environmental interactions, (2) molecular mechanisms mediated by serotonin transporters and receptors, and (3) neural circuits. For instance, the most studied yet controversial genetic variants linked to depression, often through gene‐environmental interactions, include polymorphisms in the 5‐HT transporter (5‐HTT) (Kenna et al. 2012). More consistent evidence of genetic and gene‐environmental vulnerability has been reported for serotonin receptors 1A and 2A, and tryptophan hydroxylase 2 (TPH2), the brain‐specific rate‐limiting enzyme in 5‐HT synthesis (Bremshey et al. 2024). Regarding neural circuits, serotonergic abnormalities have been linked, for example, to altered activity in the prefrontal cortex (PFC)‐limbic circuit (Bremshey et al. 2024; Pourhamzeh et al. 2022). Since the 1980s, selective serotonin reuptake inhibitors (SSRIs), followed by serotonin and noradrenaline reuptake inhibitors (SNRIs), have been developed and widely used as first‐line antidepressant treatments (Bremshey et al. 2024). However, current pharmacological treatments targeting the serotonergic system show a wide range of side effects (Pillinger et al. 2023) and are not effective in properly relieving symptoms for a substantial proportion of patients (Berlim and Turecki 2007; Zugliani et al. 2019). Furthermore, sudden reduction or cessation of SSRIs can trigger a discontinuation syndrome, characterized by a range of physical and psychological symptoms, adding another clinical challenge (Davies and Read 2019).
Current evidence supports a heterogenous, multisystems nature of neuropsychiatric disorders. While DA and 5‐HT provided a starting point into early neurobiology in psychiatric drug development, traditional monoamine hypotheses fail to capture the full complexity of neuropsychiatric conditions. Thus, therapies directed at other neurotransmitter and neuromodulator systems have received increasing attention.
Neuromodulators are a class of signaling molecules that regulate the activity and synaptic transmission of diverse neuronal populations (Alcedo and Prahlad 2020). A neuromodulator can be defined as a neurotransmitter‐like molecule that is neither rapidly reabsorbed by the presynaptic neuron, nor immediately degraded into metabolites. Instead, they typically act by volume transmission, diffusing beyond synaptic clefts to influence multiple neurons within a given region, and sometimes persist in the cerebrospinal fluid for extended periods (Özçete et al. 2024). Neuromodulators exert broader and often longer‐lasting effects by altering the excitability and responsiveness of neurons, generally binding to specific G protein‐coupled receptors (GPCRs), leading to second messenger signaling cascades which modulate neurotransmitter release, receptor sensitivity, and/or neuronal structure (Gonzalez‐Hernandez et al. 2024). Based on their chemical structure and functional properties, neuromodulators can be divided into several classes. These include monoamines (Ng et al. 2015), neurolipids (Veloso et al. 2011) and a diverse class of other molecules, including cytokines, traces amines, neurotrophins, and purines, among others (see Figure 1). Dysregulated neuromodulatory systems are implicated in a wide range of neurodevelopmental and psychiatric disorders, underscoring their significance in physiological and pathological brain function (Gilani et al. 2024; Maehashi et al. 2024). Although neuromodulatory signaling also involves interactions with non‐neuronal cell types, including glial and immune cells (e.g., endocannabinoid signaling through cannabinoid receptors expressed in astrocytes and microglia, noradrenergic modulation of microglia through β‐adrenergic signaling), we primarily focus on neuronal mechanisms. This scope reflects the substantial complexity inherent to neuromodulatory signaling already within neuronal circuits.
Hence, in this review, we synthesize emerging evidence of neuromodulator systems, beyond DA and 5‐HT, that may contribute to the pathophysiology of various neuropsychiatric disorders, focusing on mechanisms of action that have recently led to clinical trials at different phases, particularly interventional ones and those focusing on both sexes (see Tables S1–S5), and we offer directions for future research in the field. One of the principal challenges for the field at present is the shift from symptomatic relief towards disease‐modifying approaches. Although some of the available treatments offer a solution for certain behavioral manifestations of neuropsychiatric disorders, they often fail to address the cause. Notably, even some recent and novel strategies explicitly designed to target proposed disease mechanisms have yielded modest or heterogeneous clinical outcomes, resulting in some clinical trials being terminated at phase 2/3 (see Tables S1–S5). This highlights a persistent challenge in converting mechanistic advances into robust therapeutic gains and can result in undesirable outcomes, such as diminished efficacy over long‐term treatment and the emergence of side effects. Hence, understanding the underlying mechanisms of these disorders is crucial for the development of effective molecular‐based treatments, but that alone is not enough. In this sense, translationally relevant models are necessary to first elucidate the neurobiology of neuropsychiatric conditions and then test different approaches for treating them.
Importantly, across the neuromodulatory systems and disorders discussed in this review, we consider sex as a critical biological variable influencing neuropsychiatric vulnerability, symptom presentation, and treatment response. Historically, both preclinical and clinical neuropsychiatric research has relied on male subjects, often excluding females due to concerns about hormonal variability, thereby reducing the translational relevance of mechanistic discoveries and clinical interventions. This male bias has contributed to an incomplete understanding of disease biology and may partly underlie inconsistencies in treatment efficacy and side effects observed between sexes. Consistent evidence now demonstrates that sex impacts disease prevalence and clinical trajectories of several neuropsychiatric disorders. These differences are not merely modulatory but often fundamentally shape circuit function. A systematic and mechanistic integration of sex‐specific biology is therefore essential for advancing precision psychiatry and for developing biologically informed interventions.
The authors of this work participated in the 5th Flagship School hosted by the International Society for Neurochemistry (ISN) and the Journal of Neurochemistry (JNC), under the title “Neurochemistry of Mental Illness”, in October 2024 in Naxos, Greece.
2Neuropsychiatric Disorders
Given the central roles of neuromodulators such as monoamines, neurolipids, trace amines, and others in shaping brain function, their dysregulation is potentially linked to the onset, progression, and possible treatment of various neuropsychiatric disorders, which we now discuss.
2.1Depression
Over the last 30 years, mood disorders have been among the top 10 leading causes of disease burden worldwide (GBD 2021 Diseases and Injuries Collaborators 2024). Specifically, major depressive disorder (MDD) is the single largest contributor to global disability (7.5% of all years lived with disability, YLDs) and is estimated to affect more than 300 million people worldwide, accounting for 4.3% of the global burden of disease (Friedrich 2017; Yang et al. 2024). MDD arises from a combination of biological (e.g., genetic intrinsic traits, susceptibility), psychological (e.g., dysfunctional coping), and social (e.g., negative or traumatic life events) factors (Remes et al. 2021). MDD is complex and multifactorial, with symptoms that range from persistently low mood and anhedonia to disrupted sleep and fatigue (American Psychiatric Association 2013). MDD has a 5%–17% lifetime prevalence and women are twice as likely to be diagnosed with, and to develop, depression than men (Cavanagh et al. 2017; Herreen et al. 2022). Preclinical tools are essential to investigate MDDs underlying mechanisms and to evaluate and develop appropriate treatments. Animal models of depressive‐like symptoms have therefore been developed to replicate core symptoms and biological features of the disorder. These models replicate depressive‐like symptoms either through chronic stress paradigms or learned helplessness (Becker et al. 2021). Other models manipulate various additional physiological systems such as endocrine, genetic, pharmacological, and inflammatory models that replicate hypothalamic–pituitary–adrenal (HPA) axis dysregulation and neuroinflammatory conditions in MDD (Pechacek and Vonder Haar 2022; Sallie et al. 2024; Tian et al. 2025).
2.1.1Involvement of Neuromodulators Beyond Dopamine and Serotonin in Depression
Despite progress in the last half century, the heterogeneity, stigma, and lack of effective treatments for MDD leave an estimated 30%–35% of patients untreated or difficult to treat (Akil et al. 2018). Neuromodulators such as NE, eCBs, and pro‐inflammatory cytokines have garnered increasing attention and are being investigated for their role in the etiology of MDD.
2.1.1.1Norepinephrine
Norepinephrine (NE) is involved not only in the “fight or flight” response, but also in the regulation of cognitive functions, arousal, and the stress response. In the brain, the primary ascending source of NE is the Locus Coeruleus (LC) in the brainstem, which integrates inputs from parasympathetic, sympathetic, limbic, and cortical areas, through a complex interplay with other neuromodulators and neurotransmitters, including acetylcholine (ACh), DA, and 5HT (Mäki‐Marttunen et al. 2020). NE exerts its actions through post‐synaptic GPCRs, with functional heterogeneity within the brain mediated by differential affinity, dynamics, and cellular expression of NE receptors (Singh and Wong 2026). α1‐ARs, widespread in post‐synaptic compartments, show an intermediate affinity for NE and are excitatory (Sitnikova et al. 2023). α2‐ARs, less expressed, are located either post‐synaptically or presynaptically on noradrenergic, serotonergic, dopaminergic and glutamatergic neurons. They present the highest binding affinity to NE, and mediate its inhibitory effects (Sitnikova et al. 2023). β‐AR are mainly expressed in the hippocampus, where their recruitment is required for LTP induction associated with novelty and arousal (O'Dell 2025). Given the mutual crosstalk between NE and other neurotransmitters, NE plays a role in the pathophysiology of mental disorders. For instance, NE and DA share a high affinity for each other's receptors and modulate each other's release. These interconnected pathways point to an LC‐DA system that affects memory consolidation and synaptic plasticity (Mäki‐Marttunen et al. 2020; Takeuchi et al. 2016). Moreover, α1‐ and α2‐ARs in the VTA are required for DA transmission to the PFC and NAc, thus regulating attention and reward‐related mechanisms (Kielbinski et al. 2019), and supporting the role of NE in impulse control disorders such as addiction and attention deficit hyperactivity disorder (ADHD) (Zhang et al. 2023). A bidirectional interaction also occurs between NE and 5‐HT, highlighting the role of NE in mood disorders (Dremencov et al. 2009; Guiard et al. 2008). Certain noradrenergic neurons in the solitary tract nucleus, the primary relay for visceral and taste inputs from cranial nerves, project to the NAc, contributing to cue‐induced reward processing and suggesting a visceral‐neuromodulatory influence on appetitive behavior (McDougall et al. 2024; Murphy et al. 2023).
NE dysregulation is linked to major depressive disorder (MDD), contributing to anhedonia, fatigue, lack of motivation, and cognitive impairment (Moret and Briley 2011). Novel therapeutic strategies targeting the noradrenergic system have emerged to enhance the efficacy and onset of antidepressant treatments. Clinical trials show that the norepinephrine‐dopamine reuptake inhibitor solriamfetol improved depressive symptoms in MDD patients and severe excessive daytime sleepiness, although no significant benefit was observed in the overall study population (NCT06360419) (see Table S1). Similarly, in human PET studies, the triple monoamine reuptake inhibitor GSK1360707 demonstrated dose‐dependent transporter occupancy, confirming drug engagement with 5‐HT, DA, and NE pathways, although drug development was later discontinued (Sharma et al. 2015). Positive allosteric modulators (PAMs) of the α₂‐adrenergic receptor, as well as partial and biased agonists of adrenergic receptors, selectively enhance antidepressant effects while minimizing side effects (Cottingham and Wang 2012; Uys et al. 2017). Additionally, combining selective SNRI's with corticotropin‐releasing factor (CRF) antagonists may regulate the hyperactive HPA axis in depression (Domin and Śmiałowska 2024). Experimentally, studies involving neurostimulation of the LC via transcranial magnetic stimulation (TMS) have demonstrated improvements in noradrenergic activity and depressive symptoms in both animal models and humans (Wu and Baeken 2024). These emerging approaches suggest that targeting the noradrenergic system remains a promising therapeutic avenue for the development of more effective and rapid‐acting treatments for depression.
The findings of Mariscal et al. (2023) demonstrate that the noradrenergic system exhibits marked sex‐dependent variations that may influence stress responses and antidepressant efficacy. In C57BL/6J mice, females showed a lower number of tyrosine hydroxylase–positive (TH+) neurons in the LC, but greater dendritic arborization and higher neuronal excitability. These structural and electrophysiological characteristics suggest an enhanced reactivity of the female noradrenergic system to environmental or stress‐related stimuli. Consistently, females displayed increased anxiety‐like behavior in tests such as the elevated plus maze, greater thermal pain sensitivity, and better cognitive discrimination in tasks requiring the detection of subtle differences between objects. Altogether, these data support that the LC, a key nucleus in the modulation of arousal, stress responses, and antidepressant action, operates in a sex‐dependent manner. Therefore, therapeutic strategies targeting the noradrenergic system should take this into account (Bangasser et al. 2016; Mariscal et al. 2023).
2.1.1.2Endocannabinoids
The eCB system (ECS) is a major lipid‐based neuromodulatory system in the brain, regulating neural processes, including neurodevelopment, synaptic plasticity, and adaptive responses. The eCB has two known primary neurotransmitters, N‐arachidonoylethanolamine (anandamide or AEA) and 2‐arachidonoylglycerol (2‐AG), and two GPCRs, CB1 and CB2, coupled to Gi/o (Lu and Mackie 2021). Importantly, it has recently been suggested that, in the CNS, 2‐AG selectively signals to neuronal CB1 receptors, while AEA specifically signals to astrocytic CB1, implying distinct cell‐type‐specific signaling pathways and possibly explaining the neurobiological need for two different neurotransmitters (Noriega‐Prieto et al. 2025). CB1 receptors are widely distributed in the CNS, particularly the basal ganglia, cerebellum, parts of the hippocampus, and cortical regions, while CB2 receptors are primarily found in the immune system, although they are also expressed in the brain particularly under neuroinflammatory conditions (Grabon et al. 2023; Llorente‐Ovejero, Bengoetxea de Tena, et al. 2022). CB1 receptors in the substantia nigra influence functions such as reward, motivation, and motor control (García et al. 2016) through the modulation of dopaminergic neurotransmission (Covey et al. 2017). CB1 agonists increase DA firing in the substantia nigra and VTA, as well as DA release in the NAc (Cheer et al. 2003, 2004). Additionally, CB1 receptors on serotonergic neurons influence 5‐HT release and reuptake, with CB1 receptor antagonism increasing 5‐HT levels in the medial PFC (Aso et al. 2009; Colangeli et al. 2021). However, these localized increases in 5‐HT may not translate to an overall antidepressant effect due to overall reduced dopamine signaling caused by CB1 receptor antagonism. Molecular components of the ECS are also positioned to directly modulate other key neurotransmitter systems (see Figure 1), including enhancing muscarinic signaling in conditions of transient (Moreno‐Rodríguez, Bengoetxea de Tena, et al. 2025) or chronic cholinergic deficit (Moreno‐Rodríguez, Martínez‐Gardeazabal, et al. 2025) and noradrenergic circuits, reducing hyperarousal in stress‐related disorders (Wyrofsky et al. 2019).
Increasing evidence supports a key role of the ECS in the pathophysiology of depression (Zarazúa‐Guzmán et al. 2024). Antidepressant treatment and electroconvulsive therapy increase eCBs levels in plasma and brain tissue (Bloemhof‐Bris et al. 2024; Silva et al. 2025). Polymorphisms of the CB1 and CB2 receptor genes (Cnr1 and Cnr2) have been associated with an increased risk of developing MDD (Kong et al. 2019), while altered Cnr1 expression has been linked to psychosocial vulnerability leading to depressive symptoms (Juhasz et al. 2009). CB1 knockout mice have an increased risk of developing depressive‐like behaviors, supporting the role of CB1 in the pathophysiology of depression (Valverde and Torrens 2012). Recently, dysregulated CB1 expression in astrocytes was observed in men diagnosed with MDD. In a mouse model of chronic social stress, Cnr1 gene expression is increased in a region‐ and sex‐specific manner, with male mice showing altered expression in the NAc and females in the PFC (Dudek et al. 2025). Furthermore, viral‐mediated increase of CB1 expression in the NAc shell was linked to resilience to stress in male mice, promoting vascular function and reducing astrocyte inflammatory responses, resulting in an anxiolytic effect. Physical exercise leads to increased expression of CB1 (Dudek et al. 2025), while CB2 inhibition combined with physical exercise prevents depressive‐like behavior related to chronic stress in male mice (Rodrigues et al. 2024). However, both studies lack sex‐specific approaches, only evaluating the involvement of CB1 and CB2 in male mice.
2.1.1.3Pro‐Inflammatory Cytokines
Neuroinflammation is increasingly recognized as a key contributor to depression pathoetiology. Peripheral inflammation primarily affects the CNS via three key pathways, namely neurovascular unit signaling, neural afferents to the brainstem and beyond (see Figure 1), and blood–brain barrier transport. Chronic systemic inflammation, coupled with impaired blood–brain barrier integrity, allows proinflammatory cytokines, such as interleukin‐6 (IL‐6), IL‐1β, and tumor necrosis factor‐ɑ (TNF‐ɑ), to enter the brain, or alternatively, these cytokines are produced locally by microglia and astrocytes (Barany et al. 2021; Ishijima and Nakajima 2021). This is a bidirectional process whereby neurons, glia, and immune cells share receptors allowing cytokines to directly modulate synaptic function and decrease the efficacy of neurotransmitter and neuromodulator release and transmission, including DA and 5‐HT, while neurotransmitters influence microglial and astrocytic inflammatory states. This neuroimmune coupling links systemic inflammation to circuit dysfunction in MDD. Upon entering the brain, these proinflammatory factors alter microglial glutamate release, thus affecting the excitatory/inhibitory (E/I) balance and synaptic plasticity (Palpagama et al. 2023). Additionally, cytokines activate the enzyme indoleamine 2,3‐dioxygenase (IDO) that directs tryptophan metabolism towards the kynurenine (KYN) pathway, reducing 5‐HT synthesis and producing neurotoxic metabolites like quinolinic acid (QUIN) that accumulate (Öztürk et al. 2021). High glutamate and QUIN levels cause sustained NMDAR activation and Ca2+ influx that promote reactive oxygen species (ROS) production. ROS impair energy homeostasis and cause DNA and lipid damage. In lipopolysaccharide (LPS)‐treated mice, inflammation reduces the GABA‐synthesizing enzyme glutamic acid decarboxylase 67 (GAD67) and triggers GABA‐A receptor internalization, reducing inhibitory tone (Rezaei et al. 2024). These conditions disrupt E/I balance by promoting excitotoxicity, causing neuronal injury (dendritic atrophy and apoptosis) and circuit dysfunction in key mood‐regulating regions that manifest as depressive‐like symptoms (Corrigan et al. 2023). Consistent with these findings, modulation of the NMDA receptor has emerged as a promising therapeutic strategy. In a randomized clinical trial, adjunctive dextromethorphan, a non‐competitive NMDA receptor antagonist, significantly improved depressive symptoms, remission rates, and response rates when combined with SSRIs relative to SSRI treatment alone (Maji et al. 2024) (see Table S1). Conversely, sarcosine, which enhances NMDA receptor function, also demonstrated significant improvements in depressive symptoms and functional outcomes compared with citalopram (Huang et al. 2013). These findings highlight the therapeutic relevance of glutamatergic modulation in mood disorders.
Importantly, both MDD and its underlying neuroinflammatory processes exhibit notable sex differences. Clinical studies show that depressed females exhibit elevated C‐reactive protein and IL‐6 levels compared to controls, whereas men do not show these elevations (Jarkas et al. 2024). In an LPS‐induced preclinical model, male mice exhibit marked depressive‐like behavior with lower IL‐1B and (NOD)‐like receptor pyrin domain containing 3 (NLRP3) expression but higher triggering receptor expressed on myeloid cells 2 (TREM2) levels while females showed no behavioral changes even though IL‐1B and NLRP3 expression were elevated (Alonaizan et al. 2025). Sex hormones also appear to modulate glutamate clearance. Specifically, females but not males with MDD show increased EAAT2 expression in the dorsolateral PFC, suggesting that estrogen promotes glutamate clearance and reduces excitotoxic damage (Powers et al. 2020). However, these neuroprotective effects do not extend to the kynurenine pathway. Postmortem studies show that in the anterior cingulate cortex, female MDD patients show lower KYN levels and KYN/QUIN ratios, suggesting a greater bias towards neurotoxic (QUIN) pathways (Brown et al. 2024). While excess QUIN drive may increase ROS generation, preclinical studies have noted that female rodents show higher baseline antioxidant capacity, however this protective effect may be offset by higher inflammatory susceptibility (Zhu et al. 2021). Additionally, inflammation has a more prominent effect on inhibitory tone in females, reducing parvalbumin+ neuron estimates in the CA3 region of the hippocampus of female rats compared to males (Imam et al. 2025). Therefore, while neuroinflammation likely contributes to depressive pathology, the underlying molecular cascades differ between the sexes. Together, this evidence highlights the importance of considering sex as a biological variable, particularly when identifying neuroimmune mechanisms as potent therapeutic targets for the treatment of MDD.
2.1.2Future Perspectives
While animal models of depressive‐like symptoms offer valuable insights into behavioral and molecular mechanisms, modeling depression remains challenging as most models fail to produce the full spectrum of depressive symptoms observed in humans and often show limited reproducibility. To enhance the translational relevance of these models, future studies should integrate multi‐dimensional behavioral assays that more accurately measure the range of human cognitive and emotional impairments (Robinson 2025). Additionally, using more technology‐based approaches such as deep learning and Bayesian analyses, one could improve reproducibility in preclinical depression research (Unseld 2023).
Due to the heterogeneous nature of MDD, the underlying pathological mechanisms are still unclear, diagnostic and therapeutic methods are limited, and recurrence rates remain high. Although MDD is sometimes regarded as a single disorder, increasing evidence suggests that distinct neuromodulatory and neuroimmune profiles define subtypes of depression with partially overlapping mechanisms. Stratifying and recognizing these depression sub‐types may aid in the development and efficacy of more targeted therapies. Recently, research has focused on better understanding the molecular underpinnings of various MDD subtypes, especially concerning neurotransmitters and their receptors, the HPA axis, systemic influences, neuroplasticity, and multiorgan interactions (Cui et al. 2024). Improved knowledge of some of these mechanisms has led to the development and use of novel, promising therapeutic agents including ketamine and other psychedelics. Recent clinical evidence shows that in an open‐label study, inhaled N,N‐dimethyltryptamine (DMT), believed to primarily modulate serotonin levels, produced rapid and sustained reductions in depressive symptoms in patients with difficult‐to‐treat depression, with high response and remission rates observed within 1 week (Falchi‐Carvalho et al. 2025). Other emerging targets include TGF‐β1, growth‐associated protein 43, and several other agents under investigation (see Table S1). Broad‐acting agents target multiple downstream therapeutic targets while others are selective for targets including plasticity pathways, downstream modulators, inflammatory cascades, and alternate receptor systems to enhance efficacy, particularly for individuals who are difficult to treat (Castanheira et al. 2025). However, the major challenge with rapid‐acting antidepressants is that they may lose efficacy with time. Upcoming strategies to counter these short‐lived effects include optimized dosing regimens, biomarker‐guided personalized medicine, precision psychiatry, and adjunctive maintenance therapies (Singh and Thase 2025).
Research on diagnostic approaches identified new serum‐based neuroinflammatory markers and functional magnetic resonance imaging indicators that can help predict treatment outcomes, although more research is still needed (Li et al. 2021; Long et al. 2020). This highlights the importance of using multi‐modal evaluation scales that help develop more personalized therapeutic approaches. Non‐pharmacological measures including sleep improvement, dietary adjustment, exercise, and social interventions are also essential. Novel therapeutic strategies, such as phototherapy and repetitive transcranial magnetic stimulation, and psychological interventions such as cognitive behavioral therapy, can be effective, especially when combined with pharmacological interventions (Cui et al. 2024). The combination of these approaches can possibly reduce the risk of relapse and recurrence of MDD (Guidi and Fava 2021).
To reduce animal experimentation and increase translational relevance, approaches using in vitro systems (such as patient‐derived iPSCs and organoids), open data sets, and computational methods are increasingly being adopted. These methods can help uncover underlying mechanisms and develop more refined hypotheses to help ensure that animal testing is being conducted in the most necessary and targeted way.
2.2Schizophrenia
Schizophrenia is a psychotic disorder characterized by chronic distortions in perception, thought, and behavior. Diagnostic criteria include the presence of positive symptoms (e.g., delusions, hallucinations, disorganized speech, psychomotor disturbances), negative symptoms (e.g., diminished emotional expression, social withdrawal) and cognitive symptoms (e.g., problems in working memory) (First 2013). The lifetime prevalence of schizophrenia is estimated at approximately 0.4% of the population (Leucht et al. 2025) and it ranks among the 20 leading causes of disability worldwide (GBD 2021 Diseases and Injuries Collaborators 2024). Clinical symptoms typically emerge in early adulthood, peaking between 15 and 25 years of age (McGrath et al. 2008). Individuals with schizophrenia have significantly higher rates of comorbid conditions than healthy individuals, including anxiety disorder, post‐traumatic stress disorder, obsessive‐compulsive disorder (OCD), substance use disorder, ASD and metabolic disturbances (First 2013; Plana‐Ripoll et al. 2019). Schizophrenia is also a leading risk factor for suicide, with a suicide rate 12 times higher than the general population (Saha et al. 2007). Genetic predisposition plays a major role in this disorder, with heritability estimates reaching 79%, though there are no single major genes identified (Hilker et al. 2018).
Notable sex differences exist in schizophrenia. Men generally exhibit an earlier onset, more severe negative symptoms, and a poorer prognosis compared with women (Ochoa et al. 2012; Riecher‐Rössler 2017; Seeman 2019). The male‐to‐female incidence ratio is approximately 1.4:1, though women display a second peak of diagnosis after age 40 (Abel et al. 2010; Aleman et al. 2003; McGrath et al. 2008). The hormone oestradiol, which plays a key role in regulating the female reproductive system and maintaining bone and cardiovascular health, appears to have protective effects, potentially delaying onset and improving symptom severity in premenopausal women. In fact, psychotic symptoms tend to subside during mid‐cycle when oestradiol levels are high, whereas estrogen withdrawal may trigger psychotic episodes, even in healthy individuals (Riecher‐Rössler 2017).
Various in vitro models have been employed to study the cellular correlates of symptoms and comorbidities of schizophrenia, one of them being iPSC‐derived organoids. For example, there are differentially expressed proteins essential for pyruvate metabolism pathways in organoids derived from patients (Nascimento et al. 2022). This may provide insights into the higher prevalence of metabolic disorders in individuals with schizophrenia compared with the overall population (Mitchell et al. 2013). For the study of complex biological processes at the organism level, in vivo models are a useful tool. There is a wide range of in vivo models that have been utilized to study endophenotypes of schizophrenia, including pharmacological and neurodevelopmental models (Koszła et al. 2020). Pharmacological models frequently rely on the long–term administration of amphetamine, altering the dopaminergic system and diminishing cognitive flexibility (Featherstone et al. 2008; Koszła et al. 2020). Neurodevelopmental models involve prenatal exposure to environmental or immune factors that contribute to the development of schizophrenia and are particularly useful for studying the negative and cognitive symptoms of the disease. For instance, prenatal administration of polyI:C induces prototypical behavioral and cognitive deficits in offspring (Munarriz‐Cuezva and Meana 2025; Potter et al. 2025).
2.2.1Involvement of Neuromodulators Beyond Dopamine and Serotonin in Schizophrenia
Most currently used, common antipsychotics target dopamine and serotonin receptors (Jauhar et al. 2022; McCutcheon et al. 2020), but these medications possess significant limitations (Donati et al. 2020; Li et al. 2023). New insights in brain circuitry and connectivity are impacting understanding of schizophrenia pathophysiology, shifting the focus to different neuromodulation mechanisms (Kishi et al. 2024; Paul et al. 2024).
2.2.1.1Acetylcholine
ACh, a key neuromodulator involved in cognitive processes and functions (Carlson and Kraus 2025; Himmelheber et al. 2000; Yohn et al. 2022), modulates neurotransmitter release, synaptic plasticity, and neuronal excitability in response to environmental cues (Picciotto et al. 2012). Two types of receptors have been described for ACh, metabotropic muscarinic (mAChR) and ionotropic nicotinic (nAChR) receptors. mAChRs are widely expressed throughout the brain (Tobin 2024), serving as inhibitory autoreceptors on cholinergic terminals, and as heteroreceptors that modulate neurotransmitter release (Picciotto et al. 2012). The mAChR subtypes M1, M3, and M5 are stimulatory Gq‐coupled receptors, while M2 and M4 are inhibitory via Gai/o. The modulation of dopaminergic activity involves several muscarinic receptor populations, including M1 receptors on GABAergic neurons in cortical layer II/III. Following M1 receptor activation, GABA is released, inhibiting pyramidal neurons at layer V, which projects to the VTA, thus decreasing DA release. By contrast, M4 receptors are primarily located on D1 receptors expressing medium spiny neurons (MSNs), cholinergic interneurons and the cholinergic terminals projecting to the VTA. Activating presynaptic M4 receptors decreases the release of ACh, reducing the release of DA in the NAc (Paul et al. 2024).
Given their expression in different regions involved in the onset of psychosis, such as the PFC, the dorsal striatum, and the hippocampus (Thomsen et al. 2010; Thorn et al. 2017), muscarinic M1 and M4 receptor subtypes have been identified as potential targets for schizophrenia treatment (Dudzik et al. 2024). An interplay between ACh and DA in the VTA and striatum is believed to contribute to the negative and cognitive symptoms associated with schizophrenia (Paul et al. 2024). New drugs that target these ACh receptors are currently in clinical trials or have recently been approved for the treatment of schizophrenia. For instance, KarXT, brand name Cobenfy, was approved by the Food and Drug Administration (FDA) in September 2024. This combination of drugs includes xanomeline, which provides M1/M4 receptor activation through dual orthosteric and allosteric mechanisms acting both as an agonist and as a PAM, and trospium, a peripheral antagonist of muscarinic receptors, which prevents peripheral adverse effects. In randomized controlled trials, xanomeline‐trospium produced statistically significant reductions in Positive and Negative Syndrome Scale (PANSS) total scores versus placebo, with effect sizes comparable to established antipsychotics (Burger et al. 2023; Correll et al. 2022; McKenna et al. 2024). This represents a landmark in the history of biological psychiatry, as the first FDA‐approved antipsychotic that does not act through dopamine receptor antagonism and marks Cobenfy as a paradigm‐shifting exemplar of mechanism‐guided therapeutics, demonstrating how advances in neurobiology can result in the development of novel treatments that move beyond the half‐century dominance of dopamine‐based strategies. Importantly, Cobenfy was equally effective in male and female subjects, though women showed slightly higher rates of mild side effects, including nausea and constipation (Correll et al. 2022). Other drugs targeting M4 receptors, such as direclidine, an agonist, and emraclidine, a PAM, have reached Phase 2 (Yohn et al. 2022), while ML‐007, a dual M1 and M4 agonist, is currently in Phase 1, and MK‐4710, also a PAM of M4, is in preclinical development (Walker et al. 2024) (see Table S2).
2.2.1.2Histamine
Histamine regulates cerebral processes including circadian rhythms, emotions, cognitive functions, neurogenesis, and neuronal survival (Bernardino 2022; Cheng, Liu, et al. 2021). In the brain, histamine is predominantly synthesized at a fast rate by histaminergic neurons in hypothalamic tuberomammillary nuclei and stored in vesicles until release (Panula and Nuutinen 2013), while also being produced at a slower rate in mast cells in the hypothalamus, hippocampus, and thalamus (Panula et al. 2014). Once released, histamine exerts its functions via metabotropic receptors (H1‐4) (Carthy and Ellender 2021). The low‐affinity receptors H1 and H2 mediate excitatory effects by recruiting Gq/11 and Gs proteins, respectively. H1s are predominantly expressed in brain regions regulating arousal states, such as the cortex, limbic system, and hypothalamus, while H2s are mainly found in the basal ganglia, limbic system, and cerebral cortex (Benoy and Ramaswamy 2024; Zhu et al. 2025). These receptors are located at the presynaptic level, serving as potentiators of glutamatergic and GABAergic neurotransmission. In contrast, high‐affinity H3 and H4s mainly exert inhibitory actions through the recruitment of Gαi/o and Gβγ proteins.
Antipsychotic drugs, including clozapine, induce side effects such as sedation and weight gain that are mediated in part by the activation of the histamine H1 receptor (Ramos Perdigués et al. 2016; Sudar et al. 2025). Nevertheless, H1Rs expressed by cholinergic neurons that project from the basal forebrain to the PFC have been proposed as a novel target to address negative symptoms of schizophrenia. In fact, H1 deletion specifically in cholinergic neurons caused impaired basal forebrain–prefrontal cholinergic signaling and induced social impairments and anhedonia‐like behavior, traits associated with the negative symptoms of schizophrenia. These impairments were rescued by restoring H1 expression or chemogenetically activating basal forebrain cholinergic neurons (Cheng, Xu, et al. 2021; Wu et al. 2022). Importantly, patients with schizophrenia also express lower levels of H2 receptors in the PFC, and recent studies have demonstrated that agonism of H2 receptors improves schizophrenia‐like endophenotypes in mouse models, and the deletion of this receptor subtype in specific brain regions, such as the VTA, induces mania‐like behaviors (Ma et al. 2023, 2024). Together, these data suggest that activation of H2 receptors could be a novel approach for treating positive symptoms of schizophrenia.
2.2.1.3Endocannabinoids
Several studies have suggested a role of the ECS in schizophrenia (Fakhoury 2017; Seillier 2021). For example, a decrease in the expression of CB1 receptors in brain areas related to the pathophysiology of schizophrenia, including the PFC, hippocampus, and basal ganglia (Dyck et al. 2022). Interestingly, the expression of CB2 receptors, primarily found in peripheral tissues, is reportedly also decreased in first‐episode psychosis (Bioque et al. 2013; Dyck et al. 2022). Such changes in the ECS observed during the early stages of psychosis possibly involve alterations of the immune system and may play a role in the pathophysiology of the disorder, thus serving as a potential biomarker for psychotic conditions. However, while many investigations have reported decreased CB1 receptor expression in schizophrenia models, emerging evidence indicates region‐specific increases, particularly in specific subtypes such as paranoid schizophrenia (Borgan et al. 2021; Little and D'Mello 2022).
Evidence from animal models and patients also suggests that AEA and 2‐AG are involved in the pathophysiology of the disease (Fakhoury 2017; Seillier 2021). Moreover, the ECS interferes with immune dysfunctions that may play a role in schizophrenia (Huang et al. 2024). The importance of the ECS is further confirmed by the effects of cannabis‐derived molecules and cannabinoid receptor modulators (Johnson et al. 2024). For instance, cannabidiol (CBD) seems to alleviate psychotic symptoms and relieve the adverse effects of antipsychotics (Davies and Bhattacharyya 2019; Johnson et al. 2024; Leweke et al. 2021).
2.2.1.4Trace Amines
Trace amines such as tyramine, β‐phenylethylamine, and octopamine are endogenous monoamine‐like compounds present in low concentrations in the brain. They exert their effects primarily through trace amine‐associated receptors (TAARs), a family of 6 subtypes of GPCRs, with TAAR1 being the most extensively studied in the context of neuropsychiatric function (Nair et al. 2022). Unlike other monoaminergic receptors, TAARs are predominantly expressed intracellularly in neurons and specifically TAAR1s are widely expressed in key limbic and monoaminergic regions, including the VTA, PFC, and LC, where they modulate the activity of dopaminergic, serotonergic, and glutamatergic neurons (Gainetdinov et al. 2018). TAAR1s regulate monoamine neurotransmission by inhibiting DA neuron firing and by modulating DA reuptake and receptor signaling via cyclic adenosine monophosphate (cAMP) and protein kinase A pathways (Sun et al. 2024).
Evidence for TAAR1 involvement in psychiatric disorders first emerged from studies using transgenic animal models, including TAAR1 knockout mice, among others. Different studies reported that these rodents display impaired prepulse inhibition, enhanced locomotor and neurochemical responses to amphetamine, and increased dopaminergic neuron firing, supporting a role for TAAR1 in regulating dopaminergic signaling and sensorimotor gating, processes highly relevant to schizophrenia (Lindemann et al. 2008; Wolinsky et al. 2007; Zhang et al. 2021). Hence, ever since, TAAR1 have been intensively studied in psychiatric disorders (Grinchii et al. 2022; Revel et al. 2012; Yu et al. 2024). Full and partial TAAR1 agonists decrease the activity of monoaminergic neurons, so decrease the neurotransmitters, in numerous areas, including the PFC, hippocampus, dorsal striatum, NAc, VTA, dorsal raphe nucleus, substantia nigra, and LC (Grinchii et al. 2022). Two agonists of TAAR1 receptors, ralmitaront and ulotaront, reached Phase 2 clinical trials for the treatment of schizophrenia (see Table S2). They exert antipsychotic and antidepressant‐like effects in a D2‐independent manner, distinguishing them from traditional antipsychotics, and were designed using a distinctive, target‐independent strategy (Achtyes et al. 2023; Ågren et al. 2023). In phase 2 studies, ulotaront showed statistically significant reductions in PANSS total scores compared with placebo with moderate effect sizes, while ralmitaront failed to demonstrate consistent efficacy. Both trials were terminated at phase 3 because they failed to meet the endpoints of the study, highlighting translational gaps between promising preclinical mechanisms and clinical outcomes, which could be also ascribed to inconsistent trial designs and recruitment criteria across different clinical studies. As TAAR1 is expressed in different brain areas controlling distinct aspects of behavior, its activation has been shown to improve negative symptoms of schizophrenia, to ameliorate depressive‐like behaviors and to have pro‐cognitive effects (Dudzik et al. 2024). Other studies found TAAR1 activation improves a variety of symptoms in schizophrenia‐like animal models, while avoiding motor symptoms (Yu et al. 2024).
2.2.2Future Perspectives
Schizophrenia is accepted as a spectrum disorder, with marked etiological and biological heterogeneity. Diverse genetic, neurodevelopmental, immune, and environmental factors affect psychotic symptoms, challenging traditional diagnostic boundaries.
Up until now, difficult‐to‐treat schizophrenia, which accounts for approximately 30% of all cases, was often treated with clozapine (Potkin et al. 2020). The use of prolonged, often lifetime pharmacological treatments, associated with a wide variety of potential side effects, has a high impact on patients' lives and contributes to the substantial global burden of schizophrenia (Li et al. 2023). The persistent clinical and social impairments observed in patients are largely due to an incomplete understanding of the core pathophysiological mechanisms of the disorder (Donati et al. 2020). Therefore, a major current limitation in the treatment of schizophrenia is the lack of drugs that could treat the negative and cognitive symptoms effectively with minimal side effects. To adequately evaluate the therapeutic potential of these new pharmacological approaches, research models that fully capture the complexity of the disease are needed. in vitro models provide valuable insights into cellular mechanisms, but lack the broader network connectivity required to study higher‐order brain functions. Emerging approaches using iPSC‐derived neurons and glial cells, as well as brain organoids, may help overcome this limitation by modeling patient‐specific neurochemical alterations, capturing aspects of neurodevelopment and better recreating more complex cell‐to‐cell and network interactions. These advances will not only deepen our understanding of the biological basis of schizophrenia, but also provide powerful platforms for drug discovery, testing and for the development of personalized treatment strategies by using cells from a specific patient. in vivo approaches, including pharmacological and neurodevelopmental models, can replicate certain behavioral and neurochemical aspects of schizophrenia but fail to encompass the full spectrum of symptoms, particularly the cognitive and negative aspects of the disease. Hence, a complementary strategy that integrates both advanced in vitro models and in vivo systems is essential. Reverse translational approaches, where clinical findings drive refinements in preclinical models, could help bridge these gaps, ensuring that models better reflect human pathology and treatment responses. The recent FDA approval of Cobenfy, a muscarinic antipsychotic (Ramey and Silva Almodóvar 2025), signals a potential paradigm shift in the treatment of the disorder.
2.3Anxiety
Anxiety disorders are, along with depressive disorders, the most common mental disorders in both sexes, although incidence in females is higher (Penninx et al. 2021; Santomauro et al. 2021). The core symptoms of anxiety disorders generally occur by early adulthood and include functionally impairing and persistent anxiety and worry, as well as avoidance of perceived threats (Penninx et al. 2021). Anxiety disorders globally affect nearly 360 million individuals, with an age‐standardized prevalence of 4.6% in 2021 (Santomauro et al. 2021). As a major challenge, many individuals are underdiagnosed and thus lack specific treatment. Here we focus on generalized anxiety disorder (GAD), which is one of the most common types of anxiety disorders (Penninx et al. 2021).
According to the Diagnostic and Statistical Manual of Mental Disorders‐5 (DSM‐5), GAD is diagnosed with excessive worry about multiple topics (e.g., work, school, and social relationships) for at least 6 months, accompanied by physical symptoms like restlessness, fatigue, muscle tension, and sleep disturbances (First 2013). GAD often co‐occurs along with other psychiatric and somatic disorders, that may increase disease severity and duration. First‐line treatments of GAD currently include SSRIs, SNRIs, benzodiazepines and combined psychotherapy (Penninx et al. 2021). The lack of preventive measures, non‐specific pharmacotherapy and difficulty to treat reflect the current shortcomings in clinical need. In fact, despite advances in the field, the specific molecular mechanisms causing excessive anxiety remain poorly understood (Koskinen and Hovatta 2023; Penninx et al. 2021).
The vulnerability to developing anxiety disorders is considered to result from complex interplay between individual personality differences, genetic mechanisms, and epigenetic factors (Steimer 2011). Hence, it is widely recognized that no single animal model can fully replicate the full spectrum of human anxiety disorders or other psychiatric conditions (Jacobson and Cryan 2010). Despite this limitation, various in vivo paradigms are employed to study the factors contributing to GAD. In this sense, a variety of behavioral tests are employed, primarily assessing conserved defensive responses and approach‐avoidance conflict (Riebe and Wotjak 2012). Beyond innate behavior, models of conditioned fear, particularly those examining the generalization of conditioned fear to innocuous stimuli, are critical for understanding the maladaptive features of human anxiety (Verbitsky et al. 2020). To study disorder etiology, paradigms such as maternal separation and social defeat stress are used to simulate adverse life experiences, allowing the study of how environmental stress modulates genetic risk of developing anxiety‐related disorders through epigenetic mechanisms (Beery et al. 2016; Elliott et al. 2010; Weaver et al. 2004, 2005). Although these paradigms are also employed for studying other neuropsychiatric disorders (e.g., depression), specific tests are performed to assess anxiety‐like traits under these conditions.
2.3.1Involvement of Neuromodulators Beyond Dopamine and Serotonin in Anxiety
In the treatment of GAD, it is estimated that around 50% of patients exhibit incomplete response or are difficult to treat (Ansara 2020; Fagan and Baldwin 2023). It is worth noting that pharmacological treatment of GAD aims to decrease core symptoms of the disease. In this section, we will elaborate on neuromodulators beyond dopamine and serotonin that may underlie anxiety features and may establish novel, mechanism‐tailored targets.
2.3.1.1Acetylcholine
In preclinical studies, ACh signaling was implicated in anxiety‐like behaviors and maladaptive fear processing. The α7 nAChR pathway provides a well‐characterized example: activation of VTA nAChRs inhibits amygdala‐projecting dopaminergic neurons, promoting anxiety‐like behaviors in mice (Nguyen et al. 2021), and negative allosteric modulation of α7 nAChRs with BCN210 reduces anxiety‐like behaviors and promotes fear extinction in rodents (O'Connor et al. 2024). In a human study, BCN210 was found to decrease amygdala responses to fearful stimuli and amygdala‐anterior cingulate cortex connectivity in GAD patients (Wise et al. 2020). A second circuit involves medial septum cholinergic projections to the hippocampus: mAChR signaling along this pathway mediates stress‐dependent anxiety and contextual fear generalization (Mineur et al. 2022; Abouelnaga et al. 2024), a process directly relevant to anxiety disorders given that maladaptive fear generalization and variability in fear extinction are core mechanisms underlying their onset and treatment response (Cooper et al. 2022; Adolph et al. 2023). These examples highlight the involvement of ACh signaling in pathological anxiety and maladaptive fear and support the development of therapeutic strategies targeting this neuromodulatory system for anxiety disorders (He, Polymeropoulos, et al. 2025).
Although several of the clinical trials included in ACh‐related studies were originally designed for social anxiety disorder (SAD), performance anxiety, or post‐traumatic stress disorder (PTSD) (see Table S3), their inclusion was considered appropriate given the substantial overlap in symptomatology and the partially shared neurobiological mechanisms underlying anxiety spectrum disorders (Alipour et al. 2025). Evidence from these studies may therefore provide relevant insights for GAD, particularly in light of the significant unmet therapeutic need in this population. Although BNC210 showed positive results in a phase 2 trial for PTSD, recent reports indicate that this negative allosteric modulator of this α7 nAChR did not advance successfully through phase 3 after failing to demonstrate efficacy for SAD; results for PTSD are still awaited. Moreover, although results from phase 2 PTSD trials have been reported, they have not yet completed the quality control review process. Conversely, VQW‐765, an α7‐nAChR partial agonist, is currently recruiting for a phase 3 trial following promising results observed in phase 2.
2.3.1.2Norepinephrine
The LC is the primary source of NE to the PFC, projecting broadly across cortical and subcortical regions. NE release from the LC shifts the brain from a resting to an attention‐oriented state, enabling adaptive cognitive and emotional regulation by the PFC (Bouras et al. 2023). This is mediated by α1‐ and α2‐adrenergic receptors, which engage Gq‐PLC‐PKC and Gi‐adenylate cyclase‐PKA pathways, respectively. Chronic stress in GAD is associated with dysregulated NE signaling in the PFC. Hypoactivity leads to reduced alertness and cognitive slowing, while hyperactivity disrupts top‐down control over limbic structures, such as the extended amygdala, promoting hyperarousal and threat sensitivity (Arnsten et al. 2023). Targeting NE signaling, for example, with α2A agonists like guanfacine, may offer therapeutic benefits.
2.3.1.3Endocannabinoids
The ECS modulates stress and emotional behavior via retrograde inhibitory transmission through CB1 and CB2 receptors, with two circuits being particularly relevant to anxiety. The first involves AEA signaling along the amygdala‐PFC axis: stress reduces AEA levels in the amygdala, impairing top‐down regulation of anxiety, as further evidenced by increased glutamate release and heightened anxiety following CB1 receptor knockout in BLA‐PFC glutamatergic neurons (Marcus et al. 2020). Pharmacological inhibition of FAAH, the enzyme responsible for AEA degradation, mitigates these anxiety‐like effects (Gray et al. 2015), identifying this pathway as a therapeutic target. The second circuit involves 2‐AG signaling in the context of trauma and acute stress: predator stress induces a sustained increase in 2‐AG in the amygdala lasting at least 14 days, and inhibition of its degrading enzyme MGL reverses the anxiety‐like phenotype in male rats (Lim et al. 2016). Consistent with a broader role of 2‐AG in stress buffering, local elevation of 2‐AG in the insular cortex also prevents restraint stress‐induced anxiety and autonomic reactivity (Belem‐Filho et al. 2025). Together, these findings highlight FAAH and MGL inhibition as complementary strategies for targeting ECS dysfunction in anxiety and trauma‐related disorders. Two clinical trials assessing CBD have been completed. However, their sample sizes are relatively small compared to other ongoing trials in anxiety‐related disorders. In addition, while many of the pharmacological targets investigated in these studies are well established, several agents have historically been associated with undesirable adverse effects, including sedation and cognitive impairment, which may limit their clinical utility. For example, a trial testing sublingual cannabidiol for anxiety has submitted results, although quality control review has not yet concluded and adverse effects are still unknown.
2.3.1.4Neurotrophins
Neurotrophins are a family of growth factors that play essential roles in the development, maintenance, and plasticity of the nervous system. By binding to specific Trk (tropomyosin receptor kinase) receptors, neurotrophins regulate neuronal survival, axonal growth, and synaptic formation, processes that are increasingly recognized as critical to the pathophysiology and treatment of psychiatric disorders, particularly depression (McPhee et al. 2020). In the mature brain, neurotrophin‐3 (NT‐3) contributes to the structural and functional maintenance of specific neuronal populations, including those in the hippocampus and PFC, regions highly relevant to mood and cognitive regulation. Preclinical studies have demonstrated that NT‐3 supports dendritic growth, enhances long‐term potentiation, and facilitates neuronal resilience in the face of stress‐related insults (Kasakura et al. 2025). NT‐3 modulates neuronal activity by binding to its receptor TrkC (Hernández‐Echeagaray 2020). Dysregulation of the NT‐3/TrkC system has been associated with anxiety‐like disorders in mouse, non‐human primate and human studies (reviewed in de Miranda et al. 2020). In mice, NT3‐TrkC signaling in the amygdala underlies interindividual variability in fear extinction, and activation of TrkC in the same region rescues fear extinction and synaptic plasticity in extinction‐deficient mice (Masella et al. 2024). These findings support the development of pharmacological therapies targeting the NT‐3/TrkC system to enhance the efficacy of exposure therapy for anxiety disorders. There are currently no ongoing clinical trials investigating neurotrophins for anxiety‐related disorders, primarily due to the lack of selective agonists for Trk receptors. However, significant efforts have been made in recent years to develop such compounds (Joy et al. 2025; Thompson et al. 2025).
2.3.2Future Perspectives
As several neuropsychiatric conditions, GAD etiology also encompasses a heterogeneous spectrum of genetic, neurobiological, environmental, and psychosocial factors, resulting in overlapping clinical presentations not fully captured by current diagnostic categories. This heterogeneity is further amplified by the high comorbidity of GAD with other psychiatric conditions, whose symptom profiles frequently overlap, complicating both diagnosis and the identification of disorder‐specific mechanisms (Alipour et al. 2025). As research continues to advance, it is becoming increasingly clear that understanding the etiology and treatment of anxiety disorders requires a more integrative approach, including the exploration of neuromodulators such as ACh, adenosine, ECS, NE, and neurotrophins, among others. These are fundamental for emotional and stress regulation and whose dysregulation has been implicated in anxiety‐related phenotypes in both preclinical and clinical studies. Given that prevalence rates are consistently higher in females, research should explore the molecular and neurobiological underpinnings that contribute to these disparities. Refining translational models remains another critical challenge. While animal models have yielded valuable insights, enhancing their ability to capture the heterogeneity of human anxiety disorders is essential. Advances in genotyping technology have enabled the identification of millions of inherited DNA differences, shifting research from candidate gene studies to Genome‐Wide Association Studies (GWAS) (Stephens and Balding 2009), which identify genetic contributions to specific traits. Building on GWAS, polygenic risk scores (PRS) quantify an individual's genetic liability by summing risk alleles weighted by effect sizes (Lewis and Vassos 2020). A recent multi‐ancestry genome‐wide association study identified 51 anxiety‐associated loci predictive of anxiety disorder, yet it still explains only a fraction of trait variability.
In this study, we systematically compiled clinical trials evaluating the proposed mechanism. However, several important methodological limitations may constrain their translational impact. Epidemiological data indicate that women are approximately twice as likely to be diagnosed with GAD compared with men, yet although recent clinical trials generally include participants of both sexes (see Table S3), sex‐stratified efficacy analyses are rarely reported, leaving potential sex‐dependent treatment effects insufficiently explored. Another major obstacle in GAD drug development is the high placebo response rate, which has been reported to reach 40%–50% in unsuccessful trials (Motta et al. 2023), thereby raising the threshold for demonstrating clinical efficacy. Innovative trial designs, such as the sequential parallel comparison design, have been proposed to mitigate placebo effects, although none of the trials reviewed here appear to employ this strategy.
Finally, the diagnostic overlap between GAD and MDD, together with the heterogeneity of underlying pathophysiological mechanisms, complicates patient selection and may contribute to inconsistent outcomes. Strict exclusion of depressive comorbidity may inadvertently enrich trials with milder, placebo‐responsive populations that are less representative of real clinical patients, thereby reducing the ability to detect genuine drug effects.
2.4Autism Spectrum Disorder (ASD)
ASD is a neurodevelopmental disorder characterized by persistent deficits in communication and socialization across multiple contexts, as well as repetitive patterns of behaviors and restricted interests, that appear from early development and significantly impair the life of individuals affected (First 2013). Prevalence estimates greatly vary across the world, with a median prevalence of approximately 100/10000 (Zeidan et al. 2022) and a marked sex‐related component: in fact, ASD is more commonly diagnosed in males with an estimated male: female ratio of 4:1 (Napolitano et al. 2022), but this may partly be due to diagnostic practices not being adapted to female‐specific behaviors (Lockwood Estrin et al. 2021). While ASD is highly heritable, it may also arise in children without a family history due to de novo mutations (He, Du, et al. 2025; Miyake et al. 2024); additionally, there is considerable comorbidity between ASD and other neurodevelopmental and/or psychiatric disorders, including anxiety, depression, OCD, ADHD, and fragile X syndrome (Aldakhil and Shaik 2025; Calub et al. 2022; Feroe et al. 2021; Pehlivanidis et al. 2025). This heterogeneity likely explains why no sets of genes have been identified to explain all cases of ASD, but many common and rare gene variants were found in patients and associated with an increased risk of developing ASD (e.g., SHANK, NRGN, GRIN2B, RBFOX1, and FMR1) (Arpi and Simpson 2022; Leblond et al. 2021). Interestingly, recent analyses identified the convergent role of many of these ASD risk gene variants in regulating gene expression and synaptic structure and functioning (Bonsi et al. 2022; Cheroni et al. 2020; Satterstrom et al. 2020).
Currently, knockout animals for high‐confidence ASD risk genes or animals bearing mutations found in ASD patients are widely used to investigate synaptic dysfunction both in vivo and in vitro across all levels of the brain. Moreover, environmental factors such as exposure to various chemical compounds (Doğan et al. 2024; Qi et al. 2025), early‐life infections (Kaminski et al. 2023), gene–environment interaction (Lipkin et al. 2023), and lower sociodemographic level (Myat et al. 2025) are associated with elevated risk of ASD. Accordingly, various groups model ASD by pre‐ or perinatally exposing animals and/or brain organoids to the teratogen valproic acid (VPA), the immunostimulant Poly (I:C) (Hilal et al. 2025), or the bacterial component LPS (Wang et al. 2024), among others. An extensive description of the animal models used to study ASD has been recently published (Chivchibashi‐Pavlova and Bratoeva 2025; Ranjan and Bhattacharya 2025).
There are no curative or disease‐modifying treatments available for ASD. Current therapeutic options are limited to behavior‐based therapies such as cognitive behavioral therapy and applied behavioral analysis, which have varied efficacy depending on age of initiation and socioeconomic resource availability (Harte and Barry 2024).
2.4.1Involvement of Neuromodulators Beyond Dopamine and Serotonin in ASD
Impairments in the dopaminergic and serotonergic systems have been described in ASD patients and in animal models (Rodnyy et al. 2024). However, treatments that target these systems (risperidone, aripiprazole, and olanzapine, or selective SSRI and SNRI) are not or partially effective and cause significant side effects (Aishworiya et al. 2022; Blum et al. 2024). This may indicate that the dopaminergic and serotonergic systems do not represent appropriate therapeutic targets and a growing body of evidence suggests a crucial role of other neuromodulators, such as NE and ECS.
2.4.1.1Norepinephrine
Alterations in noradrenergic signaling have been implicated in ASD. For instance, ASD symptomatology may be associated with a decrease in the activity of the NE biosynthesis enzyme dopamine beta‐hydroxylase (DBH). In fact, elevated levels of 3‐(3‐hydroxyphenyl)‐3‐hydroxypropionic acid (HPHPA) and 4‐cresol, two potent inhibitors of DBH (Southan et al. 1990), were found in the urine of two 13 year‐old ASD patients (Shaw 2010, 2023). Moreover, the frequency of a polymorphism in the DBH gene that causes a reduction in DBH activity was higher in ASD patients compared with healthy controls (Robinson et al. 2001), and perinatal exposure to 4‐cresol caused autistic‐like behaviors in adult male and female mice (Canaguier et al. 2025). The majority of NE in the forebrain is released by noradrenergic neurons in the LC (see Figure 1) (Poe et al. 2020), that are characterized by two main firing modalities: a low‐frequency tonic firing, broadly associated with arousal and engagement, and bursts of high‐frequency phasic firing, associated with saliency (Carter et al. 2010). ASD toddlers presented a higher phasic activity of the LC‐NE system compared with non‐ASD toddlers, suggesting better capabilities in focussing attention (Blaser et al. 2014). Moreover, the phasic activity of the LC‐NE system was lower in ASD toddlers in response to dynamic social stimuli, but higher in response to geometric motion (Polzer et al. 2022). Interestingly, studies performed on older children with ASD revealed a decreased phasic activity and an increased tonic activity of the LC‐NE system, a feature associated with disengagement from the current task and a search for novelty (Kim et al. 2022).
In a proof‐of‐concept trial, the activation of the NE system by transdermal electrical neuromodulation improved anxiety and sleep quality of ASD patients (see Table S4). Moreover, pharmacological intervention on the noradrenergic system with the administration of propranolol, a beta‐adrenergic antagonist that reduces NE function, improved anxiety (Beversdorf et al. 2024) and aggression (London et al. 2024) in phase 1 and phase 2 clinical trials with ASD patients; yet larger clinical trials are necessary to confirm these findings.
Another molecule that has recently gained attention in the treatment of ASD is melatonin due to its antioxidant, anti‐inflammatory, neuroprotective, and immunomodulating properties (reviewed in Bjørklund et al. 2025). In some cases, children with ASD experience prolonged awakenings due to hyperactivity of noradrenergic neurons in the LC (Ji et al. 2023), and melatonin coupled with proper sleep hygiene ameliorated sleep patterns in ASD patients (Hayashi et al. 2022). Interestingly, melatonin enhances rapid eye movement (REM) sleep by acting on the melatonin MT1 receptor expressed by noradrenergic neurons in the LC of male rats, but the therapeutic relevance for ASD patients remains to be proved (López‐Canul et al. 2024). Altogether, multiple lines of evidence indicate dysregulation of the noradrenergic system in ASD, suggesting that circuit‐targeted approaches may offer a promising avenue for novel therapeutic interventions.
2.4.1.2Endocannabinoids
Dysregulated eCB signaling has also been implicated in ASD, with preclinical studies demonstrating that pharmacological inhibition of diacylglycerol lipase alpha, the primary enzyme responsible for 2‐AG synthesis, induced ASD‐like behavior in male C57BL6/J mice (Fyke et al. 2021). It has also been shown that ASD‐diagnosed children have lower circulating levels of 2‐AG and AEA (Zou et al. 2021). Notably, modulation of the ECS using phytocannabinoids, such as CBD, has shown promising results in both the fmr1‐Δexon 8 rat model of FXS and in rats embryonically exposed to VPA, improving not only social interaction but also working memory, compulsive behaviors, and sensorimotor gating deficits (Manduca et al. 2024). Curiously, pharmacological inhibition of the degradation of eCBs corrected alterations in sociability and memory in male mice in a model of Williams‐Beuren syndrome, a neurodevelopmental disorder characterized by hypersociability and moderate intellectual disability that is often phenotypically opposed to ASD (Navarro‐Romero et al. 2022). The fact that eCB modulation can correct both hypo‐ and hypersociability suggests a central role of the ECS in the regulation of emotional homeostasis, a feature that influences sociability (Friuli et al. 2025).
The E/I imbalance in ASD patients has been investigated by magnetic resonance spectroscopy, showing increased levels of glutamate in the cerebellum and GABA in the right temporal cortex, compared to neurotypical children (Johnson et al. 2023; Saleh et al. 2024). Since the ECS is responsible for modulating neurotransmitter release, it is plausible that pharmacological modulation of their components could be beneficial for the treatment of these alterations, even though their direct correlation has not been investigated so far. Indeed, a single dose of cannabidivarin restored the impaired functional connectivity in the striatum of ASD patients to neurotypical levels (Pretzsch et al. 2021). Besides, in the past 5 years several phase 2 clinical trials have proved the safety and tolerability of CBD‐rich cannabis extracts in small groups of ASD children (see Table S4). Recently concluded clinical trials outcomes partially support the therapeutic potential of CBD‐rich cannabis extracts in ASD children, demonstrating a certain degree of improvement in social interaction, anxiety and attention, with minimal adverse effects (Hacohen et al. 2022; Silva Junior et al. 2024). The partial mismatch between the efficacy of CBD reported in preclinical research and clinical trials may lie in the facts that most preclinical research focuses on one of the many existing ASD models and clinical trials lack stratification of ASD patients. This is an understandable choice when it comes to phase 1 or 2 trials, but the variability in etiology and symptomatology of ASD patients makes stratification necessary when it comes to larger cohorts of patients. In parallel, new phase 2 trials testing different CBD‐rich cannabis extracts are recruiting patients at the moment and hopefully will contribute to better inform the potential therapeutic effect of the modulation of the eCB system.
2.4.2Future Perspectives
Despite recent progress in understanding the molecular underpinnings of ASD, several questions still remain unresolved. For instance, the biological background responsible for the higher rates of ASD in males is largely unknown, though some hypotheses have been conceptualized (reviewed in Lockwood Estrin et al. 2021). Nowadays, inclusion of human female patients (Horwitz et al. 2023; Koko et al. 2025; Mattern et al. 2023) as well as female individuals in different animal models (Croom et al. 2024; Dawson et al. 2023; Martínez‐Rodríguez et al. 2019; Scheggi et al. 2020) is becoming standard practice. Moreover, the validity of ASD models needs to be carefully taken into consideration especially as the polygenicity of ASD makes it difficult to reproduce in preclinical models. Each animal model reproduces specific aspects of ASD and is therefore useful to understand how gene mutations or environmental factors influence specific cellular mechanisms. Animal models represent a first step to test the therapeutic potential of drugs on one specific target, but these findings are hardly generalizable due to the incredible variability in ASD patients. Despite these caveats, preclinical research allowed the identification of novel phenotypes, such as dysregulations in the NE system and in the eCB system, that can potentially be targeted as treatments. In fact, in the last 5 years, numerous clinical trials for the treatment of ASD aim at restoring proper functioning of the NE system, either via electrical stimulation or pharmacological intervention (propranolol and melatonin), and of the eCB system, via administration of CBD‐based treatments with a few concluded trials reporting an improvement of ASD core behaviors and comorbidities (see Table S4). Notably, in the vast majority of clinical trials mentioned in this work, the number of patients and healthy individuals is quite limited, making any conclusion on the therapeutic potential of the tested molecules hardly generalisable and subject to the risk of under‐ or overestimation of the results. Future phase 3 clinical trials are necessary to directly assess the therapeutic effect on a larger cohort of patients. Finally, testing a molecule on multiple ASD models in preclinical research and patient stratification in phase 3 clinical trials may help to interpret the results of clinical trials and to understand whether a given molecule can be administered just to a subset of ASD patients.
2.5Alcohol Use Disorder (AUD)
AUD defines an aberrant pattern of alcohol consumption leading to clinically significant conditions or distress (DSM‐5). According to the GBD Study 2021, 1.34 billion people consumed harmful amounts of alcohol in 2020, with a higher prevalence in people aged 15–49 years. AUD is the 10th leading risk factor for premature death, constituting about 4.7% of global deaths in 2019 (GBD 2021 Diseases and Injuries Collaborators 2024; World Health Organization 2024). It is associated with somatic life‐threatening conditions, including cancers and cardiometabolic diseases (Cohen et al. 2022), plus psychiatric comorbidities, such as mood, personality and other substance use disorders (Castillo‐Carniglia et al. 2019), a complex picture that challenges both a correct diagnosis and effective treatment. Of note, incidence, clinical manifestation and treatment efficacy of AUD differ between sexes (Flores‐Bonilla 2020; White 2020): even though over the past decade a convergence in AUD sex‐specific incidence has been observed (Goh et al. 2024), AUD is primarily diagnosed in men, while it typically leads to a worse clinical outcome in women (White 2020).
Despite its prevalence and impactful clinical picture, less than 10% of individuals suffering from AUD seek and get medical treatments, hindered by social stigmatization, psychological denial, and economic conditions (Kranzler 2023). Current standards in AUD therapy primarily rely on non‐pharmacological approaches, such as cognitive behavioral therapies, acceptance and mindfulness interventions, and support groups (Witkiewitz et al. 2019). These interventions aim at modifying alcohol‐related attitudes and enhancing compliance towards pharmacological treatments (Koob 2024). In parallel, the FDA has so far approved three medications for AUD treatment, each acting through distinct mechanisms (Kranzler 2023; Menge and Evitt 2025; Nutt et al. 2012). Disulfiram inhibits aldehyde dehydrogenase, leading to toxic circulating levels of acetaldehyde, resulting in an aversive disulfiram‐alcohol reaction, whose unpleasant symptoms serve as a strong deterrent to alcohol consumption; acamprosate restores glutamatergic neurotransmission during withdrawal from chronic alcohol drinking and may attenuate cognitive biases (Nutt et al. 2012); naltrexone and nalmefene block the rewarding effects of alcohol, acting as opioid receptor antagonists. In addition, only France has approved baclofen, an agonist of the GABAB receptor (Burnette et al. 2022). Other off‐label drugs have also shown efficacy for AUD, among them especially sodium oxybate, topiramate, and gabapentin (see Burnette et al. 2022; Morley et al. 2021).
Given the complexity of AUD, multiple animal models have been used to assess behavioral and neurobiological features that are core to each stage of the disease, from the development of alcohol dependance, to its maintenance, as well as withdrawal and relapse (reviewed in Goltseker et al. 2019). These models include the combination of selected genetic background (e.g., alcohol preferring rats) with pharmacological and genetic manipulation, as well as with behavioral tasks that assess the impacts of alcohol use on crucial physiological processes (Kent Lloyd et al. 2016). Despite the limitations necessarily associated with these paradigms, they present both face and predictive validity of some aspects of AUD (Nieto et al. 2021), and there is increasing effort in the development of preclinical models with higher translational relevance.
2.5.1Involvement of Neuromodulators Beyond Dopamine and Serotonin in AUD
2.5.1.1Acetylcholine
In recent decades it has been established that both nAChRs and mAChRs are involved in alcohol dependence and withdrawal (Miller and Kamens 2020; Walker et al. 2024). The α7‐nAChR seems to be particularly relevant for establishing alcohol use, as administration of a negative allosteric modulator prior to ethanol exposure prevented relapse drinking in adulthood after adolescent‐binge alcohol exposure, while a positive allosteric modulator of the α7 nAChR enhanced relapse drinking (Rodd et al. 2023). The α4β2 nAChR has also gained attention in AUD. Varenicline, which acts as a partial agonist at α4β2 nAChRs and a full agonist at α7 nAChRs, is routinely utilized in the treatment of nicotine dependence and has recently been evaluated in multiple clinical trials for the treatment of alcohol dependence (see Table S5). Recently, varenicline has been shown to reduce many measures of use (e.g., the percentage of very heavy drinking days) in patients with AUD (Phimarn et al. 2023). There is also evidence that α3β4 nAChR inhibition may contribute to therapeutic effects in AUD; for instance, ibogaine has been shown to inhibit α3β4 nAChRs, although its effects are not limited to nicotinic receptors (Straub et al. 2023). To date, however, the side effects of ibogaine and other tested α3β4 nAChR inhibitors have proven too severe for clinical use (Straub et al. 2023).
Of the muscarinic cholinergic receptors, M4 and M5, appear to be the most promising targets for AUD. The M4 receptor has been found downregulated in postmortem human putamen tissue AUD samples using genome‐wide sequencing. In a rat model of long‐term alcohol consumption this reduction was specifically observed on D1‐expressing spiny neurons in the dorsolateral striatum, and the administration of a selective M4 mAChR positive allosteric modulator reduced alcohol consumption and seeking behaviors (Walker et al. 2020). This finding was further supported by the fact that M4 receptor knock‐out mice display increased alcohol preference and relapse‐like behavior (Molander et al. 2022). Additionally, downregulation of M4 and upregulation of M5 mAChRs in the ventral subiculum were observed in rats after long‐term alcohol use: positive modulation of the M4 receptors and negative modulation of M5 receptors respectively were found to improve alcohol seeking behaviors (Walker et al. 2021). In addition to M4, evidence from preclinical studies indicates that targeting the M5 muscarinic receptor also modulates alcohol‐related behaviors. A centrally active and selective negative allosteric modulator of the M5 receptor, ML375, was shown to decrease voluntary ethanol self‐administration and attenuate cue‐induced reinstatement of ethanol seeking in ethanol‐preferring rats without affecting sucrose intake or general locomotion, supporting M5 as another potential therapeutic target for AUD (Berizzi et al. 2018). There is currently substantial pharmacological interest in modulators of muscarinic receptors for neurodegenerative conditions and schizophrenia, which may provide a unique opportunity to repurpose them for the treatment of AUD (Walker et al. 2024).
2.5.1.2Norepinephrine
Toning down noradrenergic signaling in the CNS either by inhibiting dopamine beta‐hydroxylase, by preventing presynaptic NE release via activation of α2 adrenergic receptors or by dampening NE signaling via inhibition of postsynaptic α1 receptors can improve AUD‐related behaviors (Downs and McElligott 2022). Drugs targeting each of the abovementioned mechanisms are already in clinical use for AUD, although without convincing evidence of efficacy in some cases (Vanderkam et al. 2021). For example, prazosin (an α₁‐adrenergic receptor antagonist) shows a moderate effect size for decreasing alcohol intake and relapse rates, but these effects vary across studies and patient populations, with some trials failing to demonstrate significant benefit (Vanderkam et al. 2021). Consistent with a role for noradrenergic modulation in AUD, a recent proof‐of‐concept randomized controlled trial showed that coadministration of prazosin and naltrexone was more beneficial in reducing AUD behaviors of veterans than treatment with naltrexone alone (Simpson et al. 2024). While not powered for definitive efficacy, the combination was associated with reductions in heavy drinking days and alcohol craving with effect size estimates suggesting additive benefit. However, the relatively small sample size, short duration, and specific veteran population limit generalizability, and the absence of large‐scale phase 3 trials underscores the preliminary nature of these findings.
Notably, most basic neuroscience research has been performed using male subjects. Emerging evidence indicates that adrenergic modulation in females is more pervasive, engaging both α1‐ and α2‐adrenergic receptor types more broadly than in males (Anjos‐Santos et al. 2026; Varodayan et al. 2022), highlighting an additional layer of complexity that is rarely accounted for in clinical trial design and may contribute to variability in treatment response.
More broadly, despite a strong mechanistic rationale implicating noradrenergic hyperactivity in stress‐related drinking, translation to clinical efficacy has been inconsistent. Several mechanism‐informed approaches targeting noradrenergic pathways have yielded only modest clinical effects or failed to meet primary endpoints in later‐phase trials, highlighting a gap between neurobiological promise and therapeutic impact. Contributing factors likely include heterogeneity in AUD phenotypes, variability in stress responsivity, suboptimal patient stratification, and practical barriers such as adherence and tolerability. In addition, potential sources of bias, including small sample sizes and selective reporting, may further complicate interpretation of efficacy signals.
Collectively, these findings suggest that while noradrenergic signaling remains a biologically plausible and potentially important target in AUD, its clinical utility may depend on improved patient stratification, combination treatment approaches, and a clearer understanding of the neurobiological contexts in which such interventions are most effective. Larger, well‐powered trials are needed to better define effect sizes, establish robustness across populations, and bridge the gap between mechanistic insight and clinical benefit.
2.5.1.3Endocannabinoids
The role of eCBs in AUD is likely, since their function is also affected by alcohol, both acutely and chronically. Alcohol dependence is associated with a widespread reduction of CB1 binding in the human brain (Hirvonen et al. 2013). Specifically, individuals with AUD in early abstinence (3–7 days) have lowered FAAH levels and increased levels of AEA and oleoyl‐ethanolamide (OEA) in plasma relative to healthy controls, which appeared to recover after 2–4 weeks of abstinence (Best et al. 2020). A preclinical study has also revealed that CB1 antagonists, including those restricted to peripheral CB1 receptors, reduce alcohol self‐administration (Sagheddu et al. 2020). The same group has also revealed that combining PPARα agonists and CB1 antagonists decreased alcohol self‐administration or voluntary drinking (Sagheddu et al. 2020). This finding is supported by a study showing CBD efficacy in reducing ethanol consumption in heavy alcohol users (Viudez‐Martínez et al. 2020). Alcohol is also a notable activator of neuroinflammation, which overrepeated use may temper the anti‐inflammatory responses of exogenous/endogenous cannabinoid signaling (García‐Baos et al. 2021). Studies from animal and clinical cohorts on how perturbation of brain eCBs contributes to the development of AUD/alcohol‐related disorders have been reviewed elsewhere (Navarrete et al. 2022; Serrano 2022). Taken together, these studies suggest that alcohol has the capacity to alter the eCBs activity which could represent a possible target for the treatment of AUD.
2.5.1.4Pro‐Inflammatory Cytokines
Neuroimmune signaling is increasingly recognized as a key contributor to the pathophysiology of AUD influencing both neural circuits (see Figure 1) and behavior. Post‐mortem studies of AUD individuals have revealed increased levels of neuroimmune markers compared with controls (Adams et al. 2023), and the pro‐inflammatory phenotypes of the neuroglial cells, particularly microglia and astroglia, were activated following alcohol intake in cultured cells and rats (Crews et al. 2021; Palmer et al. 2019; Villavicencio‐Tejo et al. 2021). A clinical study examined the acute effects of oral alcohol intake on cytokines and found that plasma TNF‐α levels were significantly reduced while IL‐6 levels were increased 3 h following alcohol administration in non‐treatment seeking heavy drinking individuals with AUD (Lee et al. 2021), consistent with broader evidence that acute alcohol exposure alters inflammatory and neuroimmune signaling (Palmer et al. 2019). On a similar note, in moderate alcohol drinkers, significantly increased levels of IL‐8 and decreased levels of TNF‐α 6 h were found after alcohol consumption (Hillmer et al. 2020), and an exploratory study showed that the levels of pro‐inflammatory cytokine markers IL‐8 and MCP‐1 correlated with drinking consumption (Kazmi et al. 2022). Furthermore, alcohol use increased the serum levels of the pro‐inflammatory marker IL‐6 in Korean male firefighters and correlated with cognitive decline (Yun et al. 2021).
Preclinical studies have also observed the neuroinflammatory consequences of ethanol consumption in rodent brain tissues. Particularly, TNF‐α was elevated in hippocampal tissues of rats consuming ethanol (Baradaran et al. 2021) and mice (Palmer et al. 2019). Similarly, using the chronic‐binge Gao‐NIAAA alcohol mouse model of liver disease, elevated levels of pro‐inflammatory markers TNF‐α, IL‐β, IL‐6, MCP‐1 were found in both the hippocampus and the PFC (King et al. 2020). Translational neuroimmune pharmacotherapy research has focused on ibudilast, a phosphodiesterase and macrophage migration inhibitory factor, as a candidate AUD treatment (protocol outlined in Burnette et al. 2020) with trial designs targeting heavy drinking outcomes such as percent heavy drinking days (Burnette et al. 2020). Proof‐of‐concept work showed that ibudilast attenuated alcohol cue‐elicited frontostriatal functional connectivity related to reward processing and correlated with subsequent drinking behavior (Burnette et al. 2021). However, a large phase 2 randomized clinical trial found no significant benefit of ibudilast over placebo on the percentage of heavy drinking days or peripheral inflammatory markers after 12 weeks of treatment (see Table S5), underscoring challenges in translating neuroimmune modulation into reliable clinical effects (Ray et al. 2025).
Importantly, recent insights emphasize that the immune and nervous systems are not independent but intricately interacting within the brain, sharing overlapping receptor landscapes and signaling pathways (see Figure 1). This close neuro‐immune interplay means that alcohol‐induced effects on cytokines, glial activation, and neuronal circuits cannot be considered in isolation. Consequently, approaches to targeting neuroinflammation in AUD must account for these integrated systems to better understand mechanisms and improve translational outcomes. Together, these findings highlight the complex interplay between alcohol‐induced neuroimmune activation and behavioral outcomes, suggesting that while preclinical models consistently show pro‐inflammatory effects, translating these mechanisms into effective clinical interventions remains challenging.
2.5.1.5Neuropeptides
Neuropeptides represent a broad and diverse class of neuromodulators that act through GPCRs to regulate long‐term synaptic activity, stress responses, emotion, and homeostatic functions. Unlike classical neurotransmitters, neuropeptides are often co‐released with other transmitters and exert slower, more sustained effects on neural circuits, making them critical players in the modulation of cognition and behaviors related to mood and anxiety (Satao and Doshi 2024). One example is glucagon‐like peptide‐1 (GLP‐1), a gut‐derived incretin hormone that is also produced in the brain, particularly in the nucleus tractus solitarius (Trapp and Richards 2013). GLP‐1 receptors are widely distributed in the CNS and are involved in regulating appetite, stress responses, and neuroinflammation. GLP‐1 receptor (GLP‐1R) agonists, already in use for the treatment of type 2 diabetes and obesity, are now being explored for their ability to modulate reward processes, advancing them as candidates for addiction treatment, including AUD (López‐Ojeda and Hurley 2024).
Preclinical evidence strongly supports a role for GLP‐1R activation in attenuating alcohol‐related behaviors. Administration of the GLP‐1R agonist exendin‐4 (Ex4) into the VTA suppressed ethanol consumption (Colvin et al. 2020) and blocked the orexigenic peptide ghrelin's facilitation of alcohol intake (Brigande et al. 2023). Similarly, liraglutide reduced ethanol consumption in male rats (Marty et al. 2020), and semaglutide (also known by the brand names Ozempic and Wegovy) decreased ethanol intake in rats (Aranäs et al. 2023; Chuong et al. 2023; Marty et al. 2020), mice (Chuong et al. 2023), and vervet monkeys (Fink‐Jensen et al. 2025). Dulaglutide also lowered ethanol consumption and preference in both male and female rats (Vallöf et al. 2020). A recent study reports that administration of a human fibroblast growth factor 21 (FGF21) analogue (PF‐05231023) suppressed alcohol‐motivated behaviors in preclinical models without impairing natural reward, and the authors propose that co‐targeting FGF21 signaling in combination with GLP‐1R agonism may enhance therapeutic efficacy (Cooley et al. 2026). Collectively, these findings indicate that GLP‐1R activation modulates mesolimbic reward circuitry, particularly the VTA and nucleus accumbens, leading to reduced alcohol‐seeking and intake across species.
Clinical observations parallel these experimental results although effect sizes and robustness vary. Retrospective cohort studies have reported that in individuals receiving semaglutide for obesity several measures of drinking were reduced (Quddos et al. 2023). Dulaglutide treatment over 12 weeks produced similar effects on alcohol consumption (Probst et al. 2023). In patients with AUD, a recent randomized, double‐blind, placebo‐controlled clinical trial demonstrated that once‐weekly low‐dose semaglutide significantly decreased alcohol consumption in adults during a post‐treatment laboratory self‐administration task (Hendershot et al. 2025), providing the first causal evidence in humans that GLP‐1R stimulation can directly reduce alcohol intake. In this phase 2 trial, semaglutide reduced the amount of alcohol consumed and peak breath alcohol concentration relative to placebo with medium‐to‐large effect sizes and also yielded reductions in drinks per drinking day and weekly alcohol craving. These effect sizes compared favorably with those typically observed for existing AUD pharmacotherapies. However, semaglutide did not significantly impact the number of drinking days or overall drinks per calendar day, and the relatively small sample and short treatment duration highlight the need for larger, longer‐term trials to determine clinical impact and generalizability (Hendershot et al. 2025).
While these studies support the translational potential of GLP‐1R agonists, it is important to note that most mechanism‐informed interventions in AUD to date have produced modest or inconsistent clinical benefits. Effect sizes often vary across populations and endpoints, and several trials fail to meet primary outcomes or are terminated early, highlighting a persistent gap between preclinical promise and human outcomes. Contributing factors may include heterogeneity in AUD phenotypes, variability in stress reactivity, sex differences, suboptimal patient stratification, treatment adherence, and commercial or reporting biases. Together, these findings suggest that although GLP‐1R agonists are biologically plausible and mechanistically informed candidates for AUD treatment, larger, longer‐term, and well‐powered trials are needed to confirm clinical efficacy, clarify effect magnitude, and establish generalizability. Mechanistic studies are also warranted to delineate their neural targets and optimize translational application.
2.5.2Future Perspectives
AUD continues to pose a significant therapeutic challenge. Despite the few pharmacotherapies approved, the disorder's heterogeneity and complex neurobiology, including interactions among multiple neuromodulators such as GLP‐1, ghrelin, leptin, amylin, orexin, neuroimmune factors, and cyclic‐nucleotide signaling, necessitate broader mechanistic approaches (Ghin et al. 2022; Hou et al. 2023; Tufvesson‐Alm et al. 2023; Witkiewitz et al. 2019). Future research should aim to delineate the neural circuits and molecular pathways through which ethanol alters reward, motivation, and stress‐related processes, while considering sex differences, genetic/epigenetic diversity, and cross‐talk among neuromodulatory systems. Several emerging targets exemplify this shift. The orexin system has been implicated in various aspects of drinking and relapse (Lawrence et al. 2006), and early human data suggest orexin‐receptor antagonists may reduce alcohol consumption under stress (Gorka and Phan 2022). Specifically, a recent human case study reported that treatment with the dual orexin receptor antagonist suvorexant was associated with reductions in alcohol craving and improvements in clinical outcomes in an individual with AUD and comorbid insomnia (Campbell et al. 2024). The ECS shows translational promise, as peripheral endocannabinoid levels correlate with AUD severity and may serve as biomarkers and therapeutic targets (Fuentes et al. 2024). Similarly, cyclic‐nucleotide signaling via phosphodiesterase (PDE) inhibition, particularly PDE4, reduced alcohol intake in humans and modulated nucleus accumbens MSN activity in preclinical models (Grigsby et al. 2023).
It is important to emphasize that AUD, like many psychiatric disorders, exhibits substantial etiological heterogeneity and overlapping symptom profiles. In addition, AUD is often comorbid with other psychiatric conditions which limit the ability to attribute clinical outcomes to single mechanisms and underscores that broad approaches may obscure disorder‐specific pathways. Future mechanistic studies and translational models should therefore account for this diversity and aim to identify the contexts in which specific interventions are most effective, including stratification by genetic, epigenetic, and phenotypic factors.
In summary, next‐generation AUD therapies will likely depend on the following: (i) mapping neuromodulatory networks and circuits dysregulated by alcohol, (ii) employing sex‐ and genotype‐balanced translational models, (iii) expanding pharmacotherapeutic pipelines beyond classical systems, including orexin, eCBs, and cyclic‐nucleotide pathways, (iv) integrating pharmacological, psychosocial, and lifestyle interventions, and (v) designing clinical trials with realistic endpoints in diverse populations. Multimodal, circuit‐informed, and personalized approaches targeting diverse neuromodulatory systems hold the greatest promise for durable and effective AUD treatments.
3Conclusion, Limitations, and Future Perspectives
This review highlights the novel progress in understanding which dysfunctions in neuromodulatory systems characterize neuropsychiatric disorders and how these can be exploited to develop novel treatments, with a focus on depression, schizophrenia, anxiety, ASD, and AUD. For each disorder, the animal models available, the involvement of neuromodulators beyond dopamine and serotonin, and future perspectives were discussed.
Historically, brain disorders were causally linked to imbalances in the dopaminergic and serotonergic systems, and drugs that targeted these systems were used as first‐line therapy. Today it is known that dysfunctions in other neuromodulatory systems may underlie symptomatology, and treatments that target specific symptoms start to be substituted with disease‐modifying strategies. Preclinical research had (and has) a fundamental role in this transition, from providing a better understanding of actual dysfunctions that underlie each neuropsychiatric condition and of the mechanisms that lead to pathogenicity to testing the safety and therapeutic effect of new molecules and repurposing old ones. One caveat that preclinical research faces is related to the quality of the models used: researchers should carefully take into consideration the predictive validity, face validity, and construct validity of preclinical models in order to understand the valence of preclinical data and to maximize translatability to clinical research. Moreover, it is becoming more and more clear that there are marked sex‐dependent components shared among different disorders, but knowledge on the topic is still limited. Beyond the recent inclusion of female animals in preclinical research, describing the biological basis of sex‐related differences in neuropsychiatric disorders will contribute to the success of clinical trials and of the development of better therapeutic strategies for female patients.
Another important limitation across the field is the difficulty to establish causality in neuropsychiatric disorders. Many of the biological changes described in this review may represent causes, consequences and/or compensatory responses, and it is often challenging to distinguish between these. In addition, it is often the case that very different underlying causes (e.g., genetic vulnerability, early‐life stress, inflammatory or autoimmune processes in depression; neurodevelopmental genetic risk or prenatal exposure to environmental or immune factors in schizophrenia) affect overlapping mechanisms, making it difficult to pinpoint specific etiologies for complex neurochemical or psychiatric conditions. The long‐standing “brain–mind” distinction, that is, the difficulty of discriminating between biological mechanisms and psychological processes, further complicates interpretation. Mental states and environmental experiences can themselves alter brain function, making it difficult to establish cause‐and‐effect relationships. Addressing these issues requires longitudinal and translational approaches that integrate biological and psychological levels of analysis.
In spite of these and other limitations, overall, we believe that expanding the focus beyond traditional monoaminergic targets to encompass emerging neurobiological systems, including the ones discussed in this review and others, offers a more promising path to move the field towards disease‐modifying therapies. Integrating these pathways into future research and drug‐development efforts may enable interventions that more directly address the underlying circuit dysregulation characteristic of neuropsychiatric disorders. Ultimately, such approaches have the potential to improve long‐term patient outcomes.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Acknowledgments
This review was invited following the 5th ISN‐JNC Flagship School held in Naxos, Greece, in October 2024. The authors of the review are the trainees who participated in the Flagship School. All authors wish to acknowledge the ISN for the financial and educational support, as well as all the Flagship School lecturers, who devoted their time to share their views on the neurochemistry of mental illness integrating both preclinical and clinical research. We would also like to thank the ISN officers, the local committee and the organizers, especially Prof. Dimitra Mangoura, Local Organizing Chair, Prof. David J. Nutt, Scientific Chair of the Flagship School, and Prof. Andrew J. Lawrence, Editor‐in‐Chief of the JNC (up to 31/12/2025).
Data Availability Statement
The authors have nothing to report.