Metabolic profiling of the synthetic cannabinoid APP-CHMINACA (PX-3) as studied by in vitro and in vivo models
Laboratorio Antidoping FMSI, Largo Giulio Onesti 1, 00197 Rome, Italy
Department of Health Care Surveillance and Bioethics, Section of Legal Medicine, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, Rome, Italy
Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli 8, Rome, Italy
Department of Translational Medicine, University of Ferrara, Via Fossato Di Mortara 70, Ferrara, Italy
Department of Anti-Drug Policies, Collaborative Center for the Italian National Early Warning System, Presidency of the Council of Ministers, Rome, Italy
REDs – Research and Expertise in antidoping Sciences, ISSUL – Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
Present Address: DoCoLab, University of Ghent, Block B, Ottergemsesteenweg 460, 9000 Ghent, Belgium
Abstract
Purpose
The metabolic pathways of APP-CHMINACA were characterized to select the markers of intake for implementation into analytical assays used by the clinical and forensic communities. We have combined the evidences obtained by both in vitro experiments and administration studies on mice.
Methods
APP-CHMINACA was incubated with either human or mouse liver microsomes. Urine and blood samples were collected at different time points from mice after injection of a 3 mg/kg dose of the test compound. Samples were analyzed using liquid chromatography-tandem mass spectrometry.
Results
The in vitro studies allowed to isolate eight different metabolic reactions, formed by two metabolic routes, with no differences between human and mouse liver microsomes. The main biotransformation route involved the hydrolysis of the distal amide group and the subsequent hydroxylation on the cyclohexyl-methyl ring. The second route involved multiple hydroxylation of the parent compound, followed by reduction to generate minor metabolites. In blood samples, the most abundant substances identified were APP-CHMINACA unchanged and the metabolites formed by the hydrolysis of the distal amide together with its hydroxylated products. In urine samples, four metabolites formed following the hydroxylation of the distal amide hydrolysis metabolite were detected as the most abundant and long-term metabolites.
Conclusions
The outcomes of our study showed that the most suitable markers to detect the intake of APP-CHMINACA in blood and urine samples in the framework of toxicological, clinical and forensic investigations were the metabolite formed by the hydrolysis of the distal amide and its hydroxylated products.
Untitled section
Keywords: Synthetic cannabinoids, Metabolite identification, APP-CHMINACA, PX-3, ICR-CD1 mice
Article notes
Untitled section
Received 2024 Jan 24; Accepted 2024 Sep 7; Issue date 2025.
Introduction
Synthetic cannabinoids (SCs) are psychoactive compounds pharmacologically related to the natural cannabinoids found in Cannabis sativa (i.e., Δ-9- tetrahydrocannabinol, Δ-8-tetrahydrocannabinol cannabinol, and cannabidiol [1, 2]). The family of SCs is a chemically heterogenous class of designer psychoactive substances and comprises compounds with remarkable differences in their molecular structures and in their biophysico-chemical properties. All SCs are, however, characterized by similar effects on the central nervous systems [3, 4], based on their interaction with the endogenous cannabinoid receptors CB1 and CB2. Although SCs were initially designed and synthesized as potential novel therapeutic agents, they rapidly emerged on clandestine market as a potent alternative to natural cannabis [5], with health risk related to their abuse [6].
The choice of many different products on the market, as well as the easy availability on the web and the potent effects on the central nervous system, have made SCs the most abused and chemically heterogenous class of novel psychoactive substance (NPS) [3, 7, 8].. Products belonging to the first-generation of SCs were sold with the name of Spice, a smokable herbal blend containing a mixture of different compounds, such as JWH-018, CP 47,497, JWH-073 and HU-210 [9]. In the following years, an increasing variety of SCs were synthesized and sold with variable effects on CNS, some of the most known ascribable to narcotic and hallucinogenic effects, and, to a lesser extent, stimulant effects [10, 11]
Prevalence studies indicated that the abuse of synthetic cannabinoids was an issue of relevance also in sport12, 13 : since 2010, the use of this class of NPS was prohibited, only if administered in competition, by the World Anti-doping Agency (WADA), included in the section S8 “Cannabinoids” of the list of prohibited substances and method updated at least annually by the WADA itself. [14].
Clinical, forensic, and anti-doping laboratories still face several challenges in the detection of the intake of SCs from the analysis of biological matrices. For indeed, the production of commercially available certified reference standards of the parent drug usually requires 6–24 months from the identification of a new SC [15]; furthermore, the extensive metabolism that characterizes the parent compound makes it no longer detectable in blood and/or urine already a few hours after the intake [16, 17]. In vitro and in vivo metabolism studies become, therefore, the most effective experimental strategy to collect information necessary to detect their abuse, not only to select the most appropriate marker(s) of intake, but also to assess the potential toxicological risks linked to their intake. This comprehensive approach plays a vital role in establishing an effective strategy to predict the metabolic processes of compounds yet to be studied. [18].
The present study focuses specifically on APP-CHMINACA (N-[(1S)-2-amino-2-oxo-1-(phenylmethyl)ethyl]-1-(cyclohexylmethyl)-1H-indazole-3-carboxamide), a third-generation SC also known as PX-3. APP-CHMINACA belongs to the subclass of indazole carboxamide-type SCs, one of the largest classes of SCs reported in clinical cases [19]. Its structure is characterized by a carboxamide linker group which links the indazole core to an APP moiety. The tail group is a cyclohexylmethyl (CHM) ring linked in the 1-position of the indazole core. APP-CHMINACA was synthesized for the first time by Buchler et al. for Pfizer in 2009 as potential therapeutic drugs where only the (S)-enantiomer was included in the patent. Indeed, APP-CHMINACA is a potent CB1 and CB2 receptor agonists (Ki: 9.81 nM and 4.39 nM, respectively) [19]. And the activity of the (S)-enantiomer was proved to be much more effective than that of the (R)-enantiomer on CB1 (S/R EC50 = 0.0074) [20, 21].
The appearance of APP-CHMINACA in the market was suspected for the first time in 2015 after the Belgian Customs authorities seized a powder labeled as “white pigments”, initially delivered from China, which was found to contain APP-CHMINACA and another SC, methyl (2S)-2-{[1-(5-fluoropentyl)-1H-indazol-3-yl]formamido}-3-methylbutanoate, generally known as “5F-AMB” [22]. The illicit use of APP-CHMINACA was confirmed also by its detection in paraphernalia and product samples, together with other SCs, from patient affected by adverse effects compatible with those of SCs in Anchorage, Alaska (USA) [23]. The in vitro metabolic profile of APP-CHMINACA was defined for the first time by Cooman et al. [24] and later by Presely et al. [19], following incubation with human liver microsomes (HLM). The main metabolic reaction involved the hydrolysis of the distal amide followed by hydroxylation of the CHM moiety with five metabolites detected after the incubation. Although, the most abundant metabolite found in both studies was product of the hydrolysis of the distal amide, the authors suggested that this metabolite could undergo further extensive metabolism in vivo and therefore cannot be considered a suitable marker of intake.
The aim of this study was to elucidate the in vitro and in vivo phase I metabolic profile of APP-CHMINACA, to select the most suitable marker(s) of intake to be monitored in the analytical procedures of clinical and forensic laboratories. Since controlled excretion studies on human subjects would clearly be unacceptable, we have used both in vitro and animal models to trace the biotransformation reaction of APP-CHMINACA. More specifically, human and mouse liver microsomes were selected as for in vitro metabolism studies and ICR-CD1 mice were selected for the in vivo investigation. Urine and blood samples were collected up to 24 h and up to 300 min, respectively, from the administration of 3 mg/kg dose of APP-CHMINACA by injection. To the best of our knowledge this is the first study in which the metabolic profile of APP-CHMINACA was characterized in vivo and suitable markers of intake were selected in both blood and urine samples.
Experimental
Chemicals and reagents
APP-CHMINACA and AB-CHMINACA (N-[(2S)-1-amino-3-methyl-1-oxobutan-2-yl]-1-(cyclohexylmethyl)indazole-3-carboxamide, used as internal standard), were purchased from LGC standards (Settimo Milanese, Milano, Italy) and stored in methanolic solution (final concentration 1 mg/mL). Reagents and solvents (i.e., formic acid, sodium phosphate, sodium hydrogen phosphate, potassium carbonate, potassium hydrogen carbonate), all analytic grade, were purchased from Sigma-Aldrich (Milano, Italy). Ultra-purified water was by Milli-Q system (Millipore, Vimodrone, Milano, Italy). Human liver microsomes (HLM) and mice liver microsomes (MLM) and all the reagents used for the in vitro metabolism experiments (i.e., sodium phosphate buffer, NADPH regenerating system, NADP+, glucose-6-phosphate, and glucose-6-phosphate dehydrogenase) were supplied by Corning Incorporated (Milan, Italy).
Liquid chromatography–mass spectrometry assays
The chromatographic separation was carried out using a Waters (Milford, MA, USA) Acquity I-Class UPLC® system equipped with a SUPELCO Discovery C18 column (2.1 mm × 150 mm 5 µm, Sigma-Aldrich, Milano, Italy). Solvents were: ultrapurified water (eluent A) and acetonitrile (eluent B), both containing 0.1% formic acid. The gradient program started at 15% B and increased linearly to 40% B over 7 min, and then after 3 min to 100% B over 1 min. The column was flushed for 3 min at 100% B and finally re-equilibrated at 15% B for 4 min. The flow rate was set to 250 µL/min.
The detection was performed by a triple quadrupole mass spectrometer (QTRAP 5500, Sciex, Milano, Italy) with an electrospray ionization (ESI) source. The mass spectrometric conditions were: ESI source operate in positive ion mode using a curtain gas pressure of 25 psi, an ion source temperature of 500 °C, an ion source gas 1 pressure of 45 psi, an ion source gas 2 pressure of 55 psi, a declustering voltage of 60 V, an entrance potential of 10 V and a needle voltage of 5500 V. Multiple reaction monitoring (MRM) was used as the acquisition mode (see Table 1 for the precursor ions, product ions and collision energies selected for each metabolic reaction). For the MRM collision-induced dissociation (CID), nitrogen was used as the collision gas at 5.8 mPa, obtained from a dedicated Parker-Balston nitrogen generator system (model 75-A74) with 99.5% gas purity (CPS Analitica Milano, Italy). All aspects of instrument control, method setup parameters, sample injection, and sequence operation were controlled by Analyst software version 1.5.1. (Sciex, Milano, Italy).
| Metabolic reaction | Precursor ion (m/z) | Product ions (m/z)* | Collision energy (eV) |
|---|---|---|---|
| APP-CHMINACA | 405 | 119,145,241,360 | 50,50,30,30 |
| Distal amide hydrolysis (M1) | 406 | 119,145,241 | 50,50,30 |
| Distal amide hydrolysis and ketone (CHM) formation (M2) | 420 | 145,255,374 | 50,30,30 |
| Mono-hydroxylation (CHM) (M3) | 421 | 119,145,257,376 | 50,50,30,30 |
| Distal amide hydrolysis + hydroxylation (CHM) (M4) | 422 | 119,145, 239, 257 | 50,50,30,30 |
| Hydroxylation and ketone (CHM) formation (M5) | 435 | 119,145,253,271 | 50,30,30,30 |
| Di-hydroxylation (CHM) (M6) | 437 | 119,145,273,392 | 50,50,30,30 |
| Di-hydroxylation and ketone (CHM) formation (M7) | 451 | 119,145,271 | 50,50,30 |
| Tri-hydroxylation (CHM) (M8) | 453 | 119,145,271,289 | 50,30,30,30 |
Drug preparation and dose selection
APP-CHMINACA was initially dissolved in absolute ethanol (2%) and Tween 80 (2%) and brought to the final volume with saline (0.9% NaCl). The solution made with ethanol, Tween 80 and saline was also used as the vehicle. Drug was administered by an intraperitoneal route at a volume of 4 ul/g. A dose of 3 mg/kg of APP-CHMINACA was chosen based on our previous study on SCs with indazole core [25, 26]
Protocols for the in vivo experiments
Animals
ICR (CD-1®) mice weighing 30–35 g (Centralized Preclinical Research Laboratory, University of Ferrara, Italy) were group housed (4/cage; floor area: 80 cm2/mouse; minimum enclosure height: 12 cm), exposed to a 12:12-h light–dark cycle (light on at 6:30 AM) at a temperature of 20–22 °C and humidity of 45–55% and provided ad libitum access to food (Diet 4RF25 GLP; Mucedola, Settimo Milanese, Milan, Italy) and water.
Urine samples collection
Urine specimens were collected from mice individually placed inside metabolic cages (Ugo Basile SRL, Gemonio [VA], Italy) with free access to water and food. The urinary excretion profile was studied through protocols already described in previous publications [28, 30, 31, 33]. A group of five mice were administered with a single dose of 3 mg/kg of APP-CHMINACA and urine samples were collected starting at 9:00 AM for each mouse. The samples were collected in pool every 2 h in the first 6 h and in two vials for 6–12 h and 12–24 h range, respectively. Urine blank samples from the mice control group were also collected in the same time intervals.
Blood samples collection
Blood collection was carried out at 30, 180, 240 and 300 min. Blood samples were collected by submandibular blood collection technique, into 1 mL vials containing EDTA (4 mg/mL of blood). After each blood withdrawal, an equal volume of saline solution was subcutaneously injected in mice to maintain volume and osmotic homeostasis. Urine samples were stored at -20 °C until the analysis. The blood samples were centrifuged at 2700 × g for 15 min; the supernatant was then stored at -20 °C until the analysis.
Sample pre-treatment
For the urinary excretion studies, a volume of 50 μL of urine samples was added with 50 μL of internal standard solution (ISTD, AB-CHMINACA standard solution final concentration 100 ng/mL) and 20 μL of β-glucuronidase. The samples were then buffered with 200 μL of phosphate buffer (0.8 M, pH 7.4), incubated for 60 min at 50 °C and finally extracted with 5 mL of ethyl-acetate.
For blood metabolic profile, 50 μL of sample were added with 200 μL of water and 200 μL of acetonitrile and centrifugated at 37,000 × g for 10 min after mixing for 5 min. The supernatant was then collected and added with 50 μL of internal standard solution (final concentration 100 ng/mL) and 100 μL of phosphate buffer (0.8 M, pH 7.4). Samples were then extracted with 5 mL of ethyl-acetate.
For both protocols, the organic solvent was then dried under nitrogen flow at 40 °C and the dry residue was redissolved in 50 μL of mobile phase and an aliquot of 10 µL was injected into the LC–MS/MS systems.
Results
Mass spectrometric data
The characteristic fragmentation pattern of APP-CHMINACA was defined by the injection of a standard solution of the drug at a concentration of 10 µg/mL dissolved in mobile phase. The protonated molecule for APP-CHMINACA was found at m/z 405. The fragmentation pattern was defined at different collision energies (i.e., CE 20, 30, 40, 45, 50 and 60 eV) with the triple quadrupole analyzer (QqQ) operating in product ion scan mode. At low collision energies, the loss of the distal amide group was detected as the fragment ion at m/z 360 (CE 30 eV), followed by subsequent fragmentation to form indazole-acylium cation linked to CHM moiety at m/z 241 (CE 30 eV). At higher collision energies, indazole acylium cation was detected at m/z 145 (CE 50 eV), a characteristic fragment ion of the indazole-3-carboxamide cannabinoid. At the same CE, the indazole core alone was detected at m/z 119. The structures of the detected fragments ions are reported in Fig. 1.
The characteristic ion transitions used to set up the MRM acquisition method for the metabolic products were obtained by selecting the characteristic fragmentation routes (structural markers) found in the product ion spectrum of APP-CHMINACA, assuming a similar fragmentation behavior also for the hypothesized phase I metabolites. Metabolic reactions were hypothesized based on known information for APP-CHMINACA [19, 24] and similar compounds [34–38] (see Table 1 for characteristic MRM ion transitions and collision energies selected).
Discussion
We have studied the phase I metabolic pathways of APP-CHMINACA by integrating the experimental evidences obtained by in vitro studies and by controlled administration studies on mice. For indeed, whenever controlled excretion studies on human volunteers are ethically unacceptable, a combination of in vitro and animal studies may supply a significant amount of information to obtain a reliable prospect of the actual phase I metabolic processes [39]. Our aim was to select and propose the most appropriate marker(s) of intake, allowing to trace the consumption of this NPS from the analysis of wither urine and/or blood samples. We have first performed in vitro studies on HLM and MLM, to assess the interspecies correlation. In vivo studies on mice were then performed to select the target analytes to be considered in the screening assays used by the clinical and forensic communities to monitor the intake of NPS. Indeed, blood is the biological fluid of choice to monitor the levels of an exogenous compound after a recent intake, also allowing to know whether the subject is still under its pharmaco-toxicological effects, whereas urine is a more appropriate biological fluid whenever a more prolonged window of detectability is required.
The in vitro protocols and the metabolite characterization procedures used in the current study have been already successfully applied in the past to elucidate the in vitro phase I metabolic profile of several classes of prohibited substances [27–33, 40–43]. In some cases, the in vitro investigations were accompanied by in vivo studies via LC–MS analysis of biological specimens (i.e. blood and urine) [30, 31, 40, 41, 43]; high correlations between the metabolites identified in vitro and those detected in vivo were reported proving the broad applicability of such a combined experimental strategy.
In this study, eight different phase I metabolic reactions, formed by two metabolic routes, were characterized, with no differences between human and mouse liver microsomes. The main biotransformation route involved the hydrolysis of the distal amide group and the subsequent hydroxylation on the cyclohexyl-methyl ring. The second route involved multiple hydroxylation of the parent compound, followed by reduction to generate minor metabolites. Our findings are consistent with those reported by Cooman et al. [24] and Presely et al. [19], following incubation with HLM. In both these studies, the metabolic products proposed as markers of intake were the hydroxylated metabolite, the distal amide hydrolysis product, and its hydroxylated metabolite. The evidences of our in vivo partially confirm those findings. Indeed, the most abundant substances identified in blood samples, were APP-CHMINACA unchanged and the metabolites formed by the hydrolysis of the distal amide, together with its hydroxylated products, whereas in urine samples, the most abundant and long-term metabolites were those metabolites formed following the hydroxylation of the distal amide hydrolysis metabolite. Based on these observations, our proposal is to consider the M4 metabolites generated from the hydroxylation of the distal amide hydrolysis metabolite as the most appropriate markers of use in urine samples and the distal amide hydrolysis metabolite (M1) as the main marker of intake in blood samples.
Our metabolic study was limited to the phase I biotransformation reactions, without considering phase II metabolism. However, being the class of SCs reported to be mostly excreted as glucurono-conjugates, our target compounds would still be adequate, provided that the hydrolysis with β-glucuronidase is included in the sample pretreatment process of the screening procedures followed by clinical and forensic laboratories.
Conclusion
To the best of our knowledge, this is the first study focused on the metabolic profile of APP-CHMINACA, combining the parallel, experimental observations obtained by both in vitro and in vivo metabolism studies. The results obtained in blood and urine collected from mice after the administration of a dose of 3 mg/kg showed that APP-CHMINACA metabolizes via two different metabolic pathways, the main one involving hydrolysis of the amide group and subsequent hydroxylation of the CHM moiety, confirming the results reported by previous investigators after in vitro studies. We recommend as most appropriate markers of intake, the M4 metabolites generated from the hydroxylation of the distal amide hydrolysis metabolite in urine samples and the distal amide hydrolysis metabolite (M1) in blood samples. The results of this study can be used as a guide to predict the metabolic pathways of similar compounds and to synthesize the reference standards of the selected markers of intake.
Funding
Open access funding provided by University of Lausanne. This research has been funded by the Anti-Drug Policies Department, Presidency of the Council of Ministers, Italy (project: “Effects of NPS: development of a multicentre research for the information enhancement of the Early Warning System” to M. Marti and project: “Implementation of the identification and study of the effects of NPS: Development of a multicentric research to strengthen the database of the National Monitoring Centre for Drug Addiction and the Early Warning System” to M. Marti and F. Botrè).
Declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Ethical approval
All experimental protocols were in accordance with the U.K. Animals (Scientific Procedures) Act of 1986 and associated guidelines and the new European Communities Council Directive of September 2010 (2010/63/EU), and approved by the Italian Ministry of Health (license n. 223/2021-PR, CBCC2.46.EXT.21) and the Animal Welfare Body of the University of Ferrara. According to the ARRIVE guidelines, all possible efforts were made to minimise the animals’ pain and discomfort and to reduce the number of experimental subjects.
Footnotes
Footnote Group
References
Untitled section
References
- 1.ElSohly MA, Slade D (2005) Chemical constituents of marijuana: the complex mixture of natural cannabinoids. Life Sci 78(5):539–548. 10.1016/j.lfs.2005.09.011
- 2.Pertwee RG (2004) Pharmacological and therapeutic targets for Δ9 tetrahydrocannabinol and cannabidiol. Euphytica 140:73–82. 10.1007/s10681-004-4756-9
- 3.Alves VL, Gonçalves JL, Aguiar J, Teixeira HM, Câmara JS (2020) The synthetic cannabinoids phenomenon: from structure to toxicological properties. A review Crit Rev Toxicol 50:359–382. 10.1080/10408444.2020.1762539
- 4.Potts AG, Cano C, Thomas SHL, Hill SL (2020) Synthetic cannabinoid receptor agonists: classification and nomenclature. Clin Toxicol 58:82–98. 10.1080/15563650.2019.1661425
- 5.Chimalakonda KC, Seely KA, Bratton SM, Brents LK, Moran CL, Endres GW, James LP, Hollenberg PF, Prather PL, Radominska-Pandya A, Moran JH (2012) Cytochrome P450-mediated oxidative metabolism of abused synthetic cannabinoids found in K2/Spice: identification of novel cannabinoid receptor ligands. Drug Metab Dispos 40:2174–2184. 10.1124/dmd.112.047530
- 6.Hudson S, Ramsey J (2011) The emergence and analysis of synthetic cannabinoids. Drug Test Anal 3(7–8):466–478. 10.1002/dta.268
- 7.Chung H, Lee J, Kim E (2016) Trends of novel psychoactive substances (NPSs) and their fatal cases. Forensic Toxicol 34:1–11. 10.1007/s11419-015-0286-5
- 8.Martinott G, Santacroce R, Papanti D, Elgharably Y, Prilutskaya M, Corazza O (2017) Synthetic cannabinoids: psychopharmacology, clinical aspects, psychotic onset. CNS Neurol Disord Drug Target 16(5):567–575. 10.2174/1871527316666170413101839
- 9.Mustata C, Torrens M, Pardo R, Pérez C, Farré M, Schifano F, Deluca P, Davey Z, Corazza O, Torrens M, Skutle A, Flesland L, Di Furia L, Pagani S, Minelli V, Mannonen M, Peltoniemi T, Majava A, Scherbaum N, Siemann H, Van Der Kreeft P (2009) Spice drugs: cannabinoids as a new designer drugs. Adicciones 21:181–186. 10.20882/adicciones.22719718488
- 10.Seely KA, Lapoint J, Moran JH, Fattore L (2012) Spice drugs are more than harmless herbal blends: A review of the pharmacology and toxicology of synthetic cannabinoids. Prog Neuro-Psychopharmacol Biol Psychiat 39(2):234–243. 10.1016/j.pnpbp.2012.04.017
- 11.Gurney SRM, Scott KS, Kacinko SL, Presley BC, Logan BK (2014) Pharmacology, toxicology, and adverse effects of synthetic cannabinoid drugs. Forensic Sci Rev 26(1):53–78 (PMID: 26226970)
- 12.Egan KL, Erausquin JT, Milroy JJ, Wyrick DL (2016) Synthetic cannabinoid use and descriptive norms among collegiate student-athletes. J Psychoactive Drugs 48(3):166–172. 10.1080/02791072.2016.1186305
- 13.Heltsley R, Shelby MK, Crouch DJ, Black DL, Robert TA, Marshall L, Bender CL, DePriest AZ, Colello MA (2012) Prevalence of synthetic cannabinoids in U.S. Athletes: initial findings. J Anal Toxicol 36:588–593. 10.1093/jat/bks066
- 14.Mazzoni I, Barroso O, Rabin O (2017) Anti-doping challenges with novel psychoactive substances in sport. in Nov. Psychoact. Subst., Springer International Publishing, Cham, pp. 43–56. 10.1007/978-3-319-60600-2_4
- 15.King LA, Kicman AT (2011) A brief history of ‘new psychoactive substances.’ Drug Test Anal 3:401–403. 10.1002/dta.319
- 16.Diao X, Huestis MA (2019) New synthetic cannabinoids metabolism and strategies to best identify optimal marker metabolites. Front Chem 7:109. 10.3389/fchem.2019.00109
- 17.ElSohly MA, Gul W, Wanas AS, Radwan MM (2014) Synthetic cannabinoids: analysis and metabolites. Life Sci 97(1):78–90. 10.1016/j.lfs.2013.12.212
- 18.Botrè F (2003) Drugs of abuse and abuse of drugs in sportsmen: the role of in vitro models to study effects and mechanisms. Toxicol In Vitro 17(5–6):509–513. 10.1016/s0887-2333(03)00120-6. (PMID: 14599438)
- 19.Presley BC, Logan BK, Jansen-Varnum SA (2020) In vitro metabolic profile elucidation of synthetic cannabinoid APP-CHMINACA (PX-3). J Anal Toxicol 44:226–236. 10.1093/jat/bkz086
- 20.Schoeder CT, Hess C, Madea B, Meiler J, Müller CE (2018) Pharmacological evaluation of new constituents of “Spice”: synthetic cannabinoids based on indole, indazole, benzimidazole and carbazole scaffolds. Forensic Toxicol 36(2):385–403. 10.1007/s11419-018-0415-z
- 21.Doi T, Tagami T, Takeda A, Asada A, Sawabe Y (2018) Evaluation of carboxamide-type synthetic cannabinoids as CB1/CB2 receptor agonists: difference between the enantiomers. For Toxicol 36:51–60. 10.1007/s11419-017-0378-5
- 22.Lobo Vicente J, Chassaigne H, Holland MV, Reniero F, Kolář K, Tirendi S, Vandecasteele I, Vinckier I, Guillou C (2016) Systematic analytical characterization of new psychoactive substances: a case study. Forensic Sci Int 265:107–115. 10.1016/j.forsciint.2016.01.024
- 23.Springer YP, Gerona R, Scheunemann E, Shafer SL, Lin T, Banister SD, Cooper MP, Castrodale LJ, Levy M, Butler JC, McLaughlin JB (2016) Increase in adverse reactions associated with use of synthetic cannabinoids—Anchorage, Alaska, 2015–2016. MMWR Morb Mortal Wkly Rep 65:1108–1111. 10.15585/mmwr.mm6540a4
- 24.Cooman T, Bell S (2019) In vitro metabolism of the synthetic cannabinoids PX-1, PX-2, and PX-3 by high-resolution mass spectrometry and their clearance rates in human liver microsomes. Rapid Commun Mass Spectrom 33:1816–1825. 10.1002/rcm.8543
- 25.Canazza I, Ossato A, Trapella C, Fantinati A, De Luca MA, Margiani G, Vincenzi F, Rimondo C, Di Rosa F, Gregori A, Varani K, Borea PA, Serpelloni G, Marti M (2016) Effect of the novel synthetic cannabinoids AKB48 and 5F-AKB48 on “tetrad”, sensorimotor, neurological and neurochemical responses in mice. In vitro and in vivo pharmacological studies. Psychopharmacology 233(21–22):3685–3709. 10.1007/s00213-016-4402-y
- 26.Canazza I, Ossato A, Vincenzi F, Gregori A, Di Rosa F, Nigro F, Rimessi A, Pinton P, Varani K, Borea PA, Marti M (2017) Pharmaco-toxicological effects of the novel third-generation fluorinate synthetic cannabinoids, 5F-ADBINACA, AB-FUBINACA, and STS-135 in mice. In vitro and in vivo studies. Hum Psychopharmacol 32(3):e2601. 10.1002/hup.2601.10.1002/hup.2601
- 27.Mazzarino M, de la Torre X, Botrè F (2014) A liquid chromatography–mass spectrometry method based on class characteristic fragmentation pathways to detect the class of indole-derivative synthetic cannabinoids in biological samples. Anal Chim Acta 837:70–82. 10.1016/j.aca.2014.06.003
- 28.Camuto C, Guglielmelli A, De-Giorgio F, de la Torre X, Mazzarino M, Marti M, Botrè F (2022) In vitro metabolic profile of mexedrone, a mephedrone analog, studied by high- and low-resolution mass spectrometry. Drug Test Anal 14:269–276. 10.1002/dta.3179
- 29.Mazzarino M, Camuto C, Comunità F, de la Torre X, Stacchini C, Botrè F (2021) Application of liquid chromatography coupled to data-independent acquisition mass spectrometry for the metabolic profiling of N-ethyl heptedrone. J Chromatogr B 1185:122989. 10.1016/j.jchromb.2021.122989
- 30.Camuto C, Pellegrini S, De-Giorgio F, de la Torre X, Marti M, Mazzarino M, Botrè F (2020) Urinary excretion profile of methiopropamine in mice following intraperitoneal administration: a liquid chromatography–tandem mass spectrometry investigation. Drug Test Anal 13:91–100. 10.1002/dta.2900
- 31.Chieffi C, Camuto C, De-Giorgio F, de la Torre X, Diamanti F, Mazzarino M, Trapella C, Marti M, Botrè F (2020) Metabolic profile of the synthetic drug 4,4′-dimethylaminorex in urine by LC–MS-based techniques: selection of the most suitable markers of its intake. Forensic Toxicol 39:89–100. 10.1007/s11419-020-00544-9
- 32.Tirri M, Frisoni P, Bilel S, Arfè R, Trapella C, Fantinati A, Corli G, Marchetti B, De-Giorgio F, Camuto C, Mazzarino M, Gaudio RM, Serpelloni G, Schifano F, Botrè F, Marti M (2022) Worsening of the toxic effects of ( ± ) Cis -4, 4 -DMAR following neuro-behavioural, physiological, immunohistochemical and metabolic studies in mice. Int J Mol Sci 22:8771. 10.3390/ijms22168771
- 33.Tirri M, Arfè R, Bilel S, Corli G, Marchetti B, Fantinati A, Vincenzi F, De-Giorgio F, Camuto C, Mazzarino M, Barbieri M, Gaudio RM, Varani K, Borea PA, Botrè F, Marti M (2022) In vivo bio-activation of JWH-175 to JWH-018: pharmacodynamic and pharmacokinetic studies in mice. Int J Mol Sci 23(14):8030. 10.3390/ijms23148030
- 34.Presley BC, Logan BK, Jansen-Varnum SA (2020) Phase I metabolism of synthetic cannabinoid receptor agonist PX-1 (5F-APP-PICA) via incubation with human liver microsomes and UHPLC–HRMS. Biomed Chromatogr 34:e4786. 10.1002/bmc.4786
- 35.Presley BC, Logan BK, Jansen-Varnum SA (2019) In vitro Phase I metabolism of indazole carboxamide synthetic cannabinoid MDMB-CHMINACA via human liver microsome incubation and high-resolution mass spectrometry. Drug Test Anal 11(8):1264–1276. 10.1002/dta.2615
- 36.Erratico C, Negreira N, Norouzizadeh H, Covaci A, Neels H, Maudens K, Van Nuijs ALN (2015) In vitro and in vivo human metabolism of the synthetic cannabinoid AB-CHMINACA. Drug Test Anal 7(10):866–876. 10.1002/dta.1796
- 37.Kaneko S (2017) Motor vehicle collisions caused by the ‘super-strength’ synthetic cannabinoids, MAM-2201, 5F-PB-22, 5F-AB-PINACA, 5F-AMB and 5F-ADB in Japan experienced from 2012 to 2014. Forensic Toxicol 35:244–251. 10.1007/s11419-017-0369-6
- 38.Kakehashi H, Shima N, Ishikawa A, Nitta A, Asai R, Wada M, Nakano S, Matsuta S, Sasaki K, Kamata H, Kamata T, Nishioka H, Miki A, Katagi M (2020) Effects of lipophilicity and functional groups of synthetic cannabinoids on their blood concentrations and urinary excretion. Forensic Sci Int 307:110106. 10.1016/j.forsciint.2019.110106
- 39.Botrè F (2003) Drugs of abuse and abuse of drugs in sportsmen: the role of in vitro models to study effects and mechanisms. Toxicol Vitro 17:509–513
- 40.Mazzarino M, de la Torre X, Di Santo R, Fiacco I, Rosi F, Botrè F (2010) Mass spectrometric characterization of tamoxifene metabolites in human urine utilizing different scan parameters on liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom 24:749–760. 10.1002/rcm.4432
- 41.Mazzarino M, Biava M, de la Torre X, Fiacco I, Botrè F (2013) Characterization of the biotransformation pathways of clomiphene, tamoxifen and toremifene as assessed by LC-MS/(MS) following in vitro and excretion studies. Anal Bioanal Chem 405:5467–5487. 10.1007/s00216-013-6961-7
- 42.Mazzarino M, Buccilli V, de la Torre X, Fiacco I, Palermo A, Ughi D, Botrè F (2017) Characterization of the phase I and phase II metabolic profile of tolvaptan by in vitro studies and liquid chromatography–mass spectrometry profiling: relevance to doping control analysis. J Pharm Biomed Anal 145:555–568. 10.1016/j.jpba.2017.06.054
- 43.Mazzarino M, Rizzato N, Stacchini C, de la Torre X, Botrè F (2018) A further insight into the metabolic profile of the nuclear receptor Rev-erb agonist, SR9009. Drug Test Anal 10:1670–1681. 10.1002/dta.2538