Behavioural Economic Demand for Medicinal and Recreational Cannabis Among People Who Use Over‐The‐Counter CBD Products, THC Only and CBD + THC
Department of Psychology, Faculty of Psychology, Addictive Behaviors Research Group University of Oviedo Oviedo Spain
Faculty of Psychology Neuroscience Institute of Principado de Asturias Oviedo Spain
* Correspondence:Alba González‐Roz (gonzalezralba@uniovi.es)
ABSTRACT
Introduction
Changes in regulatory policies regarding cannabis have led to a rapid expansion of the cannabis market and a substantial increase in cannabis sales. This study examined medicinal and recreational cannabis demand in a hypothetical legalisation scenario in Spain among people who use over‐the‐counter CBD, THC only and CBD + THC.
Methods
A cross‐sectional study comprising 1492 participants aged 16–30. The assessment included measures of alcohol‐related problems, nicotine dependence and cannabis use disorder risk. Two Marijuana Purchase Tasks including nine items were used to estimate demand (g/week) for medicinal and recreational cannabis. Bivariate analyses and split‐plot ANOVAs were conducted.
Results
Demand for medicinal cannabis was higher than for recreational cannabis in the sample as a whole, indicated by statistically significant main effects of all demand indices, except elasticity. In the event of legalisation, 65.2% reported that they would be willing to try medicinal cannabis if it were legal, compared to 62.1% who reported the intention to try recreational cannabis. People who use CBD + THC showed higher medicinal and recreational cannabis demand than people using THC and CBD only (all p values < 0.001). Men reported higher medicinal and recreational cannabis demand than women (all p values < 0.023).
Discussion and Conclusions
Given that the majority of participants reported intentions to try cannabis if legalised, legalisation efforts should be accompanied by sustainable prevention programs that educate people about the risks associated with cannabis use. People who use over‐the‐counter CBD products may be particularly susceptible to trying cannabis if it is legalised, either for medicinal or recreational purposes.
Article notes
A. González‐Roz , Á. García‐Pérez , I. Cuesta‐López , L. Alemán‐Moussa , and R. Secades‐Villa , “Behavioural Economic Demand for Medicinal and Recreational Cannabis Among People Who Use Over‐The‐Counter CBD Products, THC Only and CBD + THC,” Drug and Alcohol Review 45, no. 1 (2026): e70073, 10.1111/dar.70073.41309065
Footnote Group
1Introduction
Cannabis use in young populations is concerning as the brain is still developing [1]. It poses several risks to physical and mental health, including the risk of cannabis use disorder (CUD), legal and illegal substance use, psychosis, affective disorders, suicidal behaviour and other negative outcomes such as poor educational performance [2, 3, 4].
Cannabis is the most prevalent substance used in EU countries and epidemiological data in recent years show a rising trend in the use of cannabis products in young populations [5]. Around 8.4% of European adults (24 million aged 15–64) report past‐year cannabis use and rates among populations aged 15 to 34 are even higher (15.4%), with men being typically twice as likely to use cannabis as women. Spain has one of the EU's highest cannabis use rates, according to the latest 2024 estimates, with 19.4% of 15–34‐year‐olds reporting use in the past year [6].
The cannabis landscape across most EU countries is evolving, with a growing availability of new cannabis products. Tetrahydrocannabinol (THC) and cannabidiol (CBD) are two of the most well‐known compounds in cannabis products, particularly in young samples [7]. CBD in particular, a phytocannabinoid from Cannabis sativa , has gained popularity in recent years, mainly due to its non‐psychoactive effects and increased marketing worldwide, which often includes misleading information regarding its efficacy for treating medical diseases and psychological disorders [8, 9]. The lifetime prevalence of use of over‐the‐counter CBD products is considerable, ranging from 4.3% to 10.1% in adults [10, 11] and is even higher in young adults drawn from the general population (42%) [12].
Besides the emergence of new cannabis products, there has been a change in cannabis legislation in several EU countries, including Spain [13]. Currently, recreational cannabis use in Spain is decriminalised in private settings, meaning personal use does not lead to criminal offences, unless it is used in public spaces [14]. This regulatory gap concerning private spaces has facilitated the emergence of cannabis social clubs, conceived as non‐profit associations that collectively cultivate and distribute cannabis exclusively among their members, operating in the absence of specific legislation regulating their activities [15]. In terms of medicinal regulation, there are only two legal cannabidiol‐based drugs available: Nabiximols, a pain reliever for people suffering from multiple sclerosis [16] and Epidyolex, indicated as an adjunctive treatment for seizures associated with Lennox‐Gastaut syndrome, Dravet syndrome and tuberous sclerosis complex. So far, medicinal cannabis use is not regulated in Spain, but the Spanish legislature has recently approved a draft law to launch a medical program.
As demand for cannabis and CBD seems set to soar, there is an absence of empirical data for regulatory guidelines in Spain [17]. This concern is exacerbated by downward trends of risk perception associated with cannabis products, particularly among users of these products [18, 19]. Furthermore, evidence on the impact of recreational and medicinal cannabis legalisation is mixed. Some studies show increased use, particularly among young populations and people who use cannabis products [20, 21, 22, 23, 24, 25], but the evidence for those under 18 remains mixed, with findings not entirely consistent in this regard [26, 27, 28, 29, 30]. Notably, the prevalence of CUD among individuals who use cannabis for medicinal purposes appears comparable to that observed in recreational users [22].
Behavioural economics (BE) theory, rooted in the fundamentals of psychology and economics, has informed laws and policies related to drugs and substance use [31]. This includes its role in informed decisions on cannabis regulation and its impacts on the illegal market before legalisation in Canada and the USA and regulation of new cannabis products [32, 33]. BE has developed a robust methodology, known as Hypothetical Purchase Tasks, for measuring substance use demand through five demand indices (breakpoint, O max, P max, intensity and elasticity) that have been extensively described elsewhere [34, 35, 36, 37]. Researchers in the cannabis field use marijuana purchase tasks (MPT) to quantify the association between demand and price in legal or illegal scenarios and the sensitivity of demand to increasing prices [36, 38]. Cannabis demand can be assessed under different potential scenarios including changes in the legal status of the commodity and demand for legal and illegal cannabis [32, 33, 34]. Hypothetical Purchase Tasks have clear implications for policies concerning price [37, 39], which are particularly challenging due to a lack of data on the price sensitivity of cannabis demand and the degree to which introducing changes in cannabis regulation would affect demand in different population groups.
As legal restrictions on cannabis ease and societal acceptance grows, while public information remains limited, it is essential to track attitudes towards cannabis and its effects in young populations [40]. So far, there is no evidence of BE studies focusing on adolescents and young adults who use different cannabis products. In Spain there is a need to gather data on whether introducing a new legal commodity (i.e., medicinal and recreational cannabis) would affect demand, particularly among young cannabis users, a population that is known to be vulnerable to transitioning to more severe patterns of use and CUD [21, 41]. To date, only one previous study has examined the impact of cannabis legalisation in Spain [17], although it focused on recreational demand among hazardous cannabis users. Other international studies measuring intention to use cannabis in hypothetical legalisation scenarios have used intention‐to‐use questionnaires [42] (e.g., If marijuana were legal to use and legally available, would you … (1) ‘Not use it, even if it were legal and available’, (2) ‘Try it’, (3) ‘Use it about as often as I do now’, (4) ‘Use it more often than I do now’, (5) ‘Use it less than I do now’ and (6) ‘Don't know’); or discrete‐choice experiments [43] (e.g., choices made by participants among hypothetical cannabis products that varied by potency, price and warnings, for example preferred higher CBD and lower price). However, no studies in Spain or internationally have examined differences in medicinal versus recreational behavioural‐economic cannabis demand among people who use cannabis in countries where it has not yet been legalised. This information is particularly interesting with regard to people who use over‐the‐counter CBD products, a high‐risk population who rely on these products for self‐medication [44, 45] and who may be tempted to try THC in the event of cannabis legalisation.
Against this background, this study is novel in that is the first study that examined cannabis demand in hypothetical legalisation contexts using behavioural economic purchase tasks. It specifically addresses an important gap in our existing knowledge by estimating hypothetical cannabis demand for medicinal and recreational cannabis among three groups of people who use cannabis: over‐the‐counter CBD only, THC‐only and CBD + THC. The study also looked at potential sex differences in medicinal and recreational cannabis demand.
2Method
2.1Participants and Procedure
The study followed the research guidelines for observational studies (STROBE) [46]. The sample consisted of a non‐probabilistically selected group of adolescents and young adults from three autonomous communities in Spain: Asturias, Valencia and Castile and León. Educational centres offering 4th year of ESO (compulsory education), vocational training, 1st and 2nd year of baccalaureate (ages 17–18) and university settings were contacted. However, not all centres agreed to participate due to curricular time constraints, scheduling incompatibility or overload of activities and workshops during tutorial hours. Participating centres did not receive any incentives other than feedback on the study results. After data collection, the research team held a joint session with the coordinators of the educational centres to present and discuss the findings.
The eligibility requirements for participants were as follows: (i) being between 16 and 30 years old; (ii) passing three out of five of the attention control checks (see assessment measures); and (iii) self‐reporting past year use of CBD over‐the‐counter products or THC‐dominant products.
The sample was initially made up of 6757 participants. Of those, 142 were eliminated due to being 31 or over. An additional 176 were removed because they failed attentional control checks (i.e., they failed 3–5 out of five checks) and 74 were duplicate cases. A total of 4933 were excluded because they reported no CBD or THC use within the past year. The final sample comprised 1412 participants (see Table 1 for descriptive statistics), who were categorised into three groups: (i) CBD only: individuals who reported exclusive use of over‐the‐counter CBD products (≤ 0.2% THC) in the past year; (ii) THC only: individuals who reported exclusive use of cannabis products in the past year; and (iii) CBD + THC: individuals who reported use of both over‐the‐counter CBD products and cannabis products in the past year. Among people who used THC only, 28.7% reported cannabis use for recreational purposes, 11.3% for medicinal purposes and 60% for both. People who used CBD only, reported over‐the‐counter CBD use mainly for therapeutic purposes (70.6%), while 29.4% reported recreational use. Within the CBD + THC group, 71.7% reported CBD use for medicinal purposes and 28.3% for recreational purposes. People who used CBD + THC reported using both substances for both purposes (80.9%), followed by recreational (9.55%) and medicinal use (9.55%).
| Variable | Overall (n = 1412) | CBD (n = 119) | THC (n = 855) | CBD + THC (n = 438) | Statistic (F, t; χ 2) | p | ES |
|---|---|---|---|---|---|---|---|
| Sociodemographics | |||||||
| Male, n (%) | 712 (50.4) | 61a,b (51.3) | 391b (45.7) | 260a (59.4) | 21.56 | < 0.001 | 0.124 |
| Age ≥ 18, n (%) | 1154 (81.7) | 92a,b (77.3) | 690a (80.7) | 372b (84.9) | 5.16 | 0.075 | 0.060 |
| Weekly income, M (SD) | 68.90 (131.7) | 79.48a (147.1) | 59.48b (109.2) | 84.42a,c (162.5) | 5.64 | 0.004 | 0.008 |
| Substance use | |||||||
| Past‐month THC use yes, n (%) | 725 (51.3) | 410a (48.0) | 315b (71.9) | 67.52 | < 0.001 | 0.229 | |
| THC via n (%) | 7.89 | 0.019 | 0.078 | ||||
| Joints | 1190 (84.2) | — | 774a (90.5) | 416b (95) | |||
| Bong/hookah | 26 (1.8) | — | 21a (2.5) | 5a (1.1) | |||
| Edibles | 77 (5.5) | — | 60a (7.0) | 17b (3.9) | |||
| Joints/day, M (SD) | 1.51 (1.6) | — | 1.32a (1.4) | 2.28b (1.9) | −8.94 | < 0.001 | 0.586 |
| CAST, M (SD) | 2.93 (4.5) | — | 2.14a (3.9) | 5.26b (5.2) | −10.92 | < 0.001 | 0.701 |
| N of CBD products/month, M (SD) | 1.12 (1.3) | 0.91a (0.9) | — | 1.37b (1.4) | −4.08 | < 0.001 | 0.343 |
| CBD flowers or buds, n (%) | 171 (12.1) | 16a (13.4) | — | 155b (35.4) | 21.17 | < 0.001 | 0.195 |
| Hashish with CBD, n (%) | 115 (8.1) | 13a (10.9) | — | 102b (23.3) | 8.73 | 0.003 | 0.125 |
| Oil, n (%) | 72 (5.1) | 18a (15.1) | — | 54a (12.3) | 0.65 | 0.420 | 0.034 |
| Cream/lotion, n (%) | 68 (4.8) | 18a (15.1) | — | 50a (11.4) | 1.20 | 0.273 | 0.046 |
| E‐cigarette, n (%) | 66 (4.7) | 11a (9.2) | — | 55a (12.6) | 0.98 | 0.321 | 0.042 |
| Spray, n (%) | 15 (1.1) | 4a (3.4) | — | 11a (2.5) | 0.25 | 0.612 | 0.022 |
| CBD pills, n (%) | 13 (0.9) | 0a (0) | — | 13a (3.0) | 3.61 | 0.570 | 0.081 |
| CBD patches, n (%) | 12 (0.8) | 1a (0.8) | — | 11a (2.5) | 1.24 | 0.266 | 0.047 |
| Past‐month alcohol use, n (%) | 1232 (87.3) | 91a (76.5) | 755b (88.3) | 386b (88.1) | 13.58 | 0.001 | 0.098 |
| AUDIT, M (SD) | 7.53 (5.2) | 5.82a (5.0) | 7.43b (4.8) | 8.18c (5.7) | 10.09 | < 0.001 | 0.014 |
| BYAACQ, M (SD) | 7.65 (4.8) | 6.63a (5.2) | 7.61a,b (4.5) | 8.00b (5.3) | 3.74 | 0.024 | 0.005 |
| Past‐month tobacco, n (%) | 904 (64.0) | 51a (42.9) | 526b (61.5) | 327c (74.7) | 46.97 | < 0.001 | 0.182 |
| HSI M (SD) | 0.77 (1.23) | 0.52a (1.0) | 0.70a (1.1) | 0.98b (1.3) | 10.32 | < 0.001 | 0.014 |
| Past‐month e‐cigarette use, n (%) | 446 (31.6) | 25a (21.0) | 272b (31.8) | 149b (34.0) | 7.38 | 0.025 | 0.072 |
| Past‐month sedatives use, n (%) | 286 (20.3) | 33a (27.7) | 149b (17.4) | 104a (23.7) | 11.65 | 0.003 | 0.091 |
| Medical reasons for THC use, n (%) | |||||||
| Relaxation | 815 (57.7) | — | 455a (53.5) | 360b (82.2) | 102.62 | < 0.001 | 0.282 |
| Coping depression/anxiety | 397 (28.1) | — | 197a (23.1) | 200b (45.7) | 68.76 | < 0.001 | 0.231 |
| Pain relief | 233 (16.5) | — | 102a (12.0) | 131b (29.9) | 62.72 | < 0.001 | 0.221 |
| Insomnia | 431 (30.5) | — | 198a (23.2) | 233b (53.2) | 116.38 | < 0.001 | 0.300 |
| Escapism | 432 (30.6) | — | 222a (26.1) a | 210b (47.9) | 62.004 | < 0.001 | 0.219 |
| Recreational reasons for THC use, n (%) | 1000 (70.8) | — | 621a (73.0) a | 379b (86.5) | 30.55 | < 0.001 | 0.154 |
| Medical reasons for CBD use, n (%) | |||||||
| Relaxation | 275 (19.5) | 43a (36.1) | — | 197a (45) | 2.98 | 0.084 | 0.073 |
| Coping depression/anxiety | 14 (1) | 6a (5.0) | — | 6b (1.4) | 5.98 | 0.014 | 0.104 |
| Pain relief | 52 (3.7) | 19a (16.0) | — | 29b (6.6) | 10.37 | 0.001 | 0.136 |
| Insomnia | 48 (3.4) | 12a (10.1) | — | 30a (6.8) | 1.40 | 0.236 | 0.050 |
| Reduce cannabis use | 65 (4.6) | 4a (3.4) | — | 52b (11.9) | 7.49 | 0.006 | 0.116 |
| Recreational reasons for CBD use, n (%) | 181 (12.8) | 35a (29.4) | — | 124a (28.3) | 0.056 | 0.814 | 0.010 |
The assessment lasted approximately 45 min and was conducted online (7.8%) or in person (92.2%) using participants' own devices or tablets from the research team (Lenovo Table M7). Online assessments were conducted if teachers did not give permission to conduct the assessment during teaching time. The study protocol and procedures were approved by the Research Ethics Committee on Medicinal Products of the Principality of Asturias (ref: 2022.403). All participants gave their written informed consent before the study began.
2.2Measures
2.2.1Sociodemographic Variables
The assessment battery included sociodemographic characteristics including sex at birth, age and money available for weekly personal expenses.
2.2.2Attentional Checks
Five attentional control items (e.g., For this item, please choose ‘half of the time’) were randomly incorporated into the assessment battery to identify participants showing a lack of effort or understanding of the task.
2.2.3Substance Use
Self‐reported substance use included measures of past year use (yes/no) of THC, CBD and legal substances (tobacco, e‐cig, alcohol). Participants also reported joints of cannabis smoked per day and whether they were using sedatives at the time of the assessment. Additionally, we collected data on THC mode of administration (i.e., joints, bong/hookah and edibles), number of CBD products in the past month, CBD mode of administration (hashish with CBD, oil, cream/lotion, e‐cigarettes, spray, CBD pills and CBD patches) and medicinal and recreational reasons for THC and CBD use.
Measures of consequences and severity of substance use included the Alcohol Use Disorders Identification Test [47], the Brief Young Adult Questionnaire [48] for assessing alcohol use consequences, the 6‐item Cannabis Abuse Screening Test (CAST [49]) for measuring risk of CUD and the Heaviness of Smoking Index for measuring nicotine dependence [50].
2.2.4Marijuana Purchase Tasks
All participants completed two separate MPTs (see Table S1) including recreational and medicinal commodities. These tasks were adapted based on the study by Minhas et al. [34]. In each task, participants were presented a photograph showing a rolled joint, with the following information: ‘Please note that 1 gram is approximately equivalent to 4 joints of cannabis mixed with tobacco’.
The task assessing recreational cannabis demand asked participants to imagine that cannabis for recreational purposes was legal in Spain. Each participant was asked to indicate how many grams of cannabis (marijuana) they would be willing to consume in a week at each of the following prices per gram (i.e., €0, €1, €2, €3, €5, €10, €20, €40, €80). The following considerations were provided for the recreational scenario: an ID is required for purchase; consumption is only authorised for over‐18s; no administrative or criminal penalties apply; it can only be purchased in licensed establishments (i.e., cannabis clubs and state‐owned stores); and the levels of THC, CBD and other ingredients are listed on the label. The second task, which evaluated medicinal cannabis, asked participants how many grams of cannabis they would be willing to consume in a week solely to alleviate physical pain if each gram had the cost presented above. The task included the following instruction: an ID is required for purchase; consumption is only authorised for over‐18s; no administrative or criminal penalties apply if prescribed by a doctor; it can only be purchased in pharmacies and hospital pharmacies.
Data gathered from the MPTs allows calculation of five demand indices [36]: Intensity of demand refers to the quantity (grams of marijuana) an individual is willing to use at minimal or no restrictions to access cannabis; Breakpoint denotes the price at which an individual's demand ceases; O max is the maximum amount an individual is willing to pay or the peak level of a person's cannabis demand; P max refers to the maximum price at which a consumer is willing to purchase cannabis; Finally, elasticity describes the responsiveness of demand to changes in price; in other words, it quantifies how much a person's purchasing behaviour changes as a function of price.
2.3Data Analyses
First, quality control using the three‐criterion procedure by Stein et al. [51] was applied to remove non‐systematic data. No participants were excluded due to bounce, trend or reversal from zero. Participants reporting zero demand were retained for the analyses pertaining to all (i.e., breakpoint, O max, P max, intensity) except elasticity analyses. To enable the logarithmic transformation of zero values, these were replaced by a small constant (0.01). This is a common data processing practice that prevents the exclusion of participants, as logarithmic values cannot be computed for zero [52]. All demand analyses included data from 1412 participants, except for elasticity of demand, which included fewer participants (medicinal demand: N = 885; recreational demand: N = 841) given that elasticity cannot be calculated from those having zero demand within either of the first two items of the purchase tasks.
All MPT indicators (i.e., intensity, breakpoint, O max, P max, elasticity) are from observed values except for elasticity (α, i.e., the rate of change in maximum response, see [53]) which was derived from individual fit curves. The demand curve was fitted using the Koffarnus et al. [54] exponentiated equation and a k‐value of 2 was fixed for all data. This value was produced by subtracting the log10‐transformed average consumption at the highest price ($10.00) from the log10‐transformed average consumption at the lowest price used in curve fitting [55]. An R 2 value was calculated to reflect the percentage of variance accounted for by the demand equation (i.e., the adequacy of model fit).
Outlier management was applied at the raw level and the indicator level (i.e., once the observed demand indices were calculated), except for intensity—given that this indicator corresponds to the first price. We used winsorization by replacing outliers (at a z value > 3.99) with the next highest non‐outlying value plus 1 unit (except for elasticity, where we considered a unit as 0.001) [56]. For all demand indices, log‐10 transformation was chosen over raw indices and square roots as this transformation significantly improved skewness and kurtosis in each of the marijuana purchase tasks (see Table S2).
Descriptive statistics were calculated to characterise the study groups (CBD only, THC only and CBD + THC) in terms of sociodemographic, substance‐use and psychological variables. Chi‐square tests were used to explore the differences between groups in categorical variables; t‐tests (comparing two groups) and analyses of variance (ANOVA) (comparing three groups) were used for quantitative variables.
Differences in cannabis demand based on commodity (recreational vs. medicinal) and study group (CBD, THC, CBD + THC) were analysed using a split‐plot ANOVA. The mixed‐design analysis of variance included commodity as the within‐subjects variable and study group as the between‐subjects factor. This analysis was performed for each cannabis demand index. The following variables were examined as potential covariates in the split‐plot ANOVAs, using Spearman and point‐biserial correlations as appropriate: weekly income for personal expenses, sex, mode of participation (in‐person vs. online), substance use severity (alcohol, nicotine dependence and CUD risk), motives for using cannabis products (recreational‐only use, medicinal‐only use or both), pain relief as a reason for cannabis use and age group (< 18, ≥ 18). Sex and substance use severity (as measured by the Heaviness of Smoking Index, CAST and Brief Young Adult Questionnaire), were significantly correlated with all demand indices and were thus entered as covariates. Age group showed a significant correlation only with elasticity and was therefore entered solely as a covariate in the elasticity model. Pain relief as a reason for cannabis use was correlated with all demand indices except elasticity and was thus entered in the corresponding models. Statistical significance was set at p < 0.05 for all comparisons. Effect sizes were calculated as appropriate, including partial eta squared (ηp 2), Cramers' V and Ф. All analyses were conducted using SPSS v. 27 and GraphPad Prism 10.
3Results
3.1Preliminary Analysis: Statistical Fit of the Demand Curves for Medicinal and Recreational Cannabis Demand
Figure 1a,b shows the curves for medicinal and recreational cannabis demand in each study group (CBD only, THC only and CBD + THC). The exponential demand equation [54] provided an excellent fit to the data [recreational: R 2: M (SD) = 0.91 (0.06); medicinal: R 2: M (SD) = 0.91 (0.08)].
3.2Behavioural Economic Analysis of Medicinal and Recreational Cannabis Demand
Table 2 shows descriptive statistics of medicinal and recreational cannabis demand indices. Almost two‐thirds of the full sample, 65.2%, reported that they would be willing to purchase medicinal cannabis if it were legal, compared to 62.1% who indicated they would be willing to purchase recreational cannabis. Looking at the groups in the study, the CBD + THC group (82.6%) reported a greater intention to try medicinal cannabis as indicated by intensity of demand (χ 2 = 104.74, p < 0.001; Cramer's V = 0.265), followed by the CBD (59.4%) and THC (42%) groups. The same pattern was observed for recreational cannabis, where participants in the CBD + THC group (78.1%) reported a greater intention to try recreational cannabis (χ 2 = 95.34, p < 0.001; Cramer's V = 0.257) followed by the THC (57.8%) and CBD (34.5%) groups. In the sample as a whole, the breakpoint (i.e., the price per gram at which participants reported not purchasing cannabis) was 19.63 (SD = 27.90) for recreational cannabis and 20.50 (SD = 27.73) for medicinal commodities. No significant differences in the elasticity of either recreational or medicinal cannabis were found between the CBD + THC, CBD and THC groups (see Table 3).
| Breakpoint M (SD) | ES | O max M (SD) | ES | P max M (SD) | ES | Intensity M (SD) | ES | Elasticity M (SD) | ES | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R | M | R | M | R | M | R | M | R | M | ||||||
| Overall N = 1412 | 19.63 (27.90) | 20.50 (27.73) | −0.031 | 46.07 (130.43) | 48.51 (143.82) | −0.018 | 13.07 (24.83) | 13.65 (25.16) | −0.023 | 8.96 (18.36) | 9.04 (18.75) | −0.004 | 0.019 (0.032) | 0.009 (0.012) | 0.406** |
| THC N = 855 | 16.48 (26.01) | 17.73 (26.35) | −0.048 | 33.45 (104.54) | 35.79 (114.89) | −0.021 | 11.33 (23.66) | 12.19 (24.29) | −0.036 | 6.51 (14.97) | 6.79 (16.15) | −0.018 | 0.023 (0.037) | 0.011 (0.014) | 0.434** |
| CBD N = 119 | 14.69 (28.20) | 14.49 (26.06) | 0.007 | 32.75 (127.48) | 38.83 (150.41) | −0.044 | 10.28 (23.21) | 9.40 (21.67) | −0.039 | 3.89 (12.94) | 5.17 (15.17) | −0.091 | 0.020 (0.032) | 0.008 (0.009) | 0.505* |
| CBD + THC N = 438 | 27.12 (29.91) | 27.54 (29.47) | −0.014 | 74.32 (167.41) | 75.95 (183.82) | −0.009 | 17.25 (26.94) | 17.66 (27.18) | −0.015 | 15.11 (23.43) | 14.47 (22.79) | 0.028 | 0.014 (0.022) | 0.007 (0.009) | 0.372** |
| Breakpoint | O max | P max | Intensity | Elasticity a | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | p | ηp | F | p | ηp | F | p | ηp | F | p | ηp | F | p | ηp | |
| Commodity | 6.59 | 0.010 | 0.005 | 4.50 | 0.034 | 0.003 | 4.39 | 0.036 | 0.003 | 7.41 | 0.007 | 0.005 | 0.40 | 0.575 | 0.001 |
| Group | 26.54 | < 0.001 | 0.036 | 24.82 | < 0.001 | 0.034 | 21.93 | < 0.001 | 0.030 | 28.09 | < 0.001 | 0.038 | 1.31 | 0.271 | 0.003 |
| Sex | 6.87 | 0.009 | 0.005 | 8.95 | 0.003 | 0.006 | 5.19 | 0.023 | 0.004 | 15.74 | < 0.001 | 0.011 | 2.97 | 0.085 | 0.004 |
| CAST | 42.23 | < 0.001 | 0.029 | 58.17 | < 0.001 | 0.040 | 40.24 | < 0.001 | 0.028 | 67.88 | < 0.001 | 0.046 | 2.25 | 0.134 | 0.003 |
| HSI | 0.02 | 0.869 | < 0.001 | 0.97 | 0.323 | 0.001 | 1.07 | 0.300 | 0.001 | 0.04 | 0.836 | 0.046 | 3.29 | 0.070 | 0.004 |
| BYAACQ | 0.01 | 0.911 | < 0.001 | < 0.001 | 0.998 | < 0.001 | 0.08 | 0.767 | < 0.001 | 0.49 | 0.484 | < 0.001 | 2.81 | 0.094 | 0.004 |
| Pain relief | 7.42 | 0.007 | 0.005 | 9.44 | 0.002 | 0.007 | 9.47 | 0.002 | 0.007 | 6.26 | 0.012 | 0.004 | — | — | — |
| Group × commodity | 0.55 | 0.57 | 0.001 | 0.69 | 0.499 | 0.001 | 0.36 | 0.693 | 0.001 | 1.13 | 0.323 | 0.002 | 0.06 | 0.934 | < 0.001 |
| Sex × commodity | 0.63 | 0.429 | < 0.001 | 0.01 | 0.943 | < 0.001 | 0.002 | 0.961 | < 0.001 | 0.82 | 0.365 | 0.001 | 2.98 | 0.084 | 0.004 |
| CAST × commodity | 0.003 | 0.959 | < 0.001 | 0.23 | 0.634 | < 0.001 | 0.19 | 0.659 | < 0.001 | 0.02 | 0.902 | < 0.001 | < 0.001 | 0.988 | < 0.001 |
| HSI × commodity | 0.57 | 0.451 | < 0.001 | 1.38 | 0.240 | 0.001 | 1.53 | 0.216 | 0.001 | 0.43 | 0.511 | < 0.001 | 0.34 | 0.558 | < 0.001 |
| B‐YAACQ × commodity | 2.11 | 0.146 | 0.002 | 1.33 | 0.248 | 0.001 | 1.38 | 0.240 | 0.001 | 2.25 | 0.134 | 0.002 | 0.13 | 0.718 | < 0.001 |
| Pain relief × commodity | 11.14 | < 0.001 | 0.008 | 9.72 | 0.002 | 0.007 | 8.62 | 0.003 | 0.006 | 9.51 | 0.002 | 0.007 | — | — | — |
Overall, there were no significant interactive effects between commodity type and either group or sex (see Table 3). Regardless of the study group, there was a significant main effect of medicinal cannabis in all demand indices (all p ≤ 0.036), except for elasticity. Participants consistently reported a preference for medicinal cannabis rather than recreational cannabis and the CBD + THC group indicated higher demand for recreational and medicinal cannabis than the THC and CBD groups (all p < 0.001).
There were statistically significant main effects of sex for intensity, breakpoint, O max and P max (all p ≤ 0.023), indicating that demand for recreational and medicinal commodities was higher from men than women (see raw descriptive statistics in Table 4).
| Breakpoint M (SD) | ES | O max M (SD) | ES | P max M (SD) | ES | Intensity M (SD) | ES | Elasticity M (SD) | ES | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Males (n = 712) | Females (n = 700) | Males (n = 712) | Females (n = 700) | Males (n = 712) | Females (n = 700) | Males (n = 712) | Females (n = 700) | Males (n = 712) | Females (n = 700) | ||||||
| Medicinal | 22.44 (28.40) | 18.54 (26.92) | 0.141* | 54.96 (150.45) | 41.94 (136.54) | 0.091 | 14.46 (12.82) | 12.82 (24.62) | 0.065 | 11.93 (21.82) | 6.09 (14.42) | 0.315** | 0.008 (0.011) | 0.010 (0.012) | −0.174* |
| Recreational | 22.15 (28.95) | 17.07 (26.58) | 0.183** | 55.91 (143.30) | 36.05 (115.12) | 0.153* | 14.26 (25.44) | 11.87 (24.15) | 0.096 | 12.29 (21.94) | 5.57 (12.95) | 0.372** | 0.016 (0.032) | 0.022 (0.031) | −0.188* |
4Discussion
This study examined demand for medicinal and recreational cannabis in a potentially legalised scenario among a young population who regularly used cannabis products (i.e., over‐the‐counter CBD, THC and CBD + THC). The main findings were: (i) in the sample as a whole, people who use cannabis products reported greater demand for medicinal than recreational cannabis; (ii) people who used CBD + THC exhibited greater demand for recreational and medicinal cannabis than groups reporting THC and CBD use only and (iii) men reported greater demand for medicinal and recreational cannabis than women. The potential legalisation of recreational and medicinal cannabis was associated with significant effects on the intention to use cannabis, as indicated by similarly average intensity of demand values (8.96–9.04 g, for recreational and medicinal cannabis, respectively). In the sample as a whole, there was greater demand for medicinal cannabis than recreational cannabis, based on several BE indices (intensity, breakpoint, O max and P max). Nonetheless, effect sizes were small in magnitude, suggesting that the overall impact of legalisation is likely to be similar across both commodities. Variables that affect these purchase decisions may be related to better perceptions of control, quality and safety of legal medicinal cannabis for pain relief [57, 58, 59]. Many people who use cannabis for medical purposes are consuming cannabis without medical supervision and for conditions for which there is no evidence of its beneficial effect (e.g., depression and anxiety) [60]. Given that the medicinal cannabis scenario included the instruction that cannabis is ‘prescribed by a doctor’, most participants may have perceived medicinal cannabis as tailored to their needs in terms of dosage, potency and strain, as medicinal cannabis strains have lower THC and higher CBD which may be a better match to the needs of people coping with physical and mental health conditions [61]. Moreover, the fact that a sizable number of participants in this study reported using cannabis for relaxation and coping purposes may account for the higher demand for medicinal versus recreational cannabis. In fact, as suggested by the statistically significant effect of pain relief as a reason for cannabis use, the greater willingness to pay for medicinal cannabis among people who use CBD + THC may be explained by motives related to pain relief. Furthermore, over 30% of people who use CBD + THC reported using cannabis for pain relief, which may have increased their drive to report greater demand for medicinal cannabis.
People who use CBD + THC exhibited greater recreational and medicinal cannabis demand than people who use THC or CBD‐only. This may be attributable to the higher dependence levels associated with the combination of both THC and CBD products [62]. In fact, in this study, people who use CBD + THC reported higher levels of hazardous cannabis use and a greater number of joints smoked per day compared to people using THC only. Furthermore, CUD risk (as measured by the CAST), was significantly associated with all demand indices, except elasticity. As a recent epidemiological study reported, risk perceptions regarding smoking cannabis seem to be lower among people who use CBD [63]. In part, facilitated by disinformation and marketing campaigns, people who use CBD may think that combining CBD products that are over the counter with legal cannabis would result in enhanced psychoactive effects. On a related note, those who are less well‐educated and use cannabis products for specific health conditions (e.g., improved sleep, anxiety, pain etc.) might underestimate the risks of smoking cannabis to self‐medicate [63, 64]. Given that legal cannabis is subjected to quality and safety control, people who use THC may feel that using legal cannabis would provide a higher‐quality experience [57]. Moreover, legalising cannabis implies a variety of products to choose from (e.g., based on strain, potency) and improved safety when buying cannabis (e.g., reducing violent confrontations between consumers, such as muggings, which often occur in black markets) [65], which may encourage people who are already using cannabis to try legal cannabis either for medicinal or recreational purposes. Collectively, legalised cannabis markets may resemble the current organisational system of cannabis social clubs in Spain [15], which are widely popular across the country [66], but without the requirement to operate exclusively in private spaces and under a clearly defined legal framework. These legal guarantees may encourage people who are already using cannabis to try legal cannabis either for medicinal or recreational purposes.
Men reported higher demand for recreational and medicinal cannabis than women, with no differences observed between commodities. Although small magnitudes of effects were observed, these findings may carry practical relevance, particularly given the well‐known dose–response relationship, where higher intensity of consumption (e.g., grams) increases the risk of poor mental health [67, 68]. Overall, the observed differences may be due to the higher prevalence and severity of cannabis use among men, particularly, in young adults [4, 69, 70]. Despite the sex gap in the prevalence of cannabis narrowing [71], stigma continues to be a significant barrier to women's access to cannabis and it seems that women prefer to keep it hidden to maintain social ties [72, 73]. Another potential explanation may be related to preferred patterns of use. Women tend to prefer edibles over smoked cannabis, whereas men use smoked cannabis more frequently in the form of joints or blunts [74, 75]. This difference in preferences probably leads to lower demand for smoked cannabis among women in the Hypothetical Purchase Tasks that ask about it.
This study is subject to at least four limitations. First, the study sample was restricted to a specific population group who use cannabis products and the findings may not be generalisable to the broader population of young people who do not use cannabis. Second, participants were asked to make hypothetical decisions about purchasing cannabis for recreational and medicinal use for a typical week, so decisions may not correspond to actual purchasing decisions where cannabis use is used occasionally (e.g., once during the weekend). Third, the study sought to examine demand in a potential scenario of legalisation and because the current scenario (decriminalisation) was not considered, no conclusions can be made regarding increased legal cannabis demand. Fourth, in this study, the decision to focus on cannabis use for pain is based on the fact that the draft Royal Decree of the Spanish Ministry of Health in 2024 included the use of cannabis preparations for chronic pain, as well as on the current interest in the potential applications of cannabis, cannabis‐based medicines and endocannabinoid system modulators in the context of pain treatment. Focusing on cannabis use for alleviating physical pain provided a standardised context, but it excluded other common motives for cannabis use, such as coping with mental health disorders. As demand may vary across different motivational contexts, future studies should consider this important variable. Another limitation concerns the role of age which could plausibly influence estimated demand for those aged 17 or lower. Therefore, developmental factors typical of adolescence, shifting social contexts, evolving risk perceptions and potential social desirability effects may have shaped responses. In this context, future studies should stratify analyses by narrower age bands or ensure representativeness of different age groups to be included as a covariate with sufficient statistical power. Finally, demand for recreational and medicinal cannabis was assessed in the form of smoked cannabis/medical preparations, but ‘medical use of cannabis’ can refer to a wide variety of preparations and products that may contain different active ingredients and use different routes of administration other than being smoked.
Considering these points, this study has several implications for public health. The results provide initial empirical data supporting the idea that cannabis legalisation for recreational and medicinal purposes would be associated with high demand among young populations that report cannabis use, including those that are underage. Approximately 62% and 65% of participants reported a willingness to try recreational and medicinal cannabis, respectively. Importantly, the average price at which legal demand ceased was €19.63/g for recreational cannabis and €20.50/g for medicinal cannabis. Price plays a crucial role in discouraging participants from accessing both the legal and illegal markets. As reported by study participants (average €4.37/g) and by the most recent report from the Spanish Government's National Plan on Drugs in 2022 [76], the price per gram of resin is €5.57 and the price per gram of marijuana is €5.09. These figures suggest that, in a potential legal scenario, economic policies should carefully regulate pricing, given that the illegal market currently offers cannabis at substantially lower prices and might, therefore, represent a substitute commodity. In this context, BE research offers methods that were not applied in the present study and future research is warranted to examine cross‐elasticity between legal and illegal commodities. Additionally, we observed that men and people who smoke THC and use over‐the‐counter CBD products represent higher‐risk subpopulations requiring attention in post‐legalisation landscapes, as greater demand for both recreational and medicinal cannabis was observed in these groups. Education campaigns (e.g., through mass media) that balance the risks and benefits of medical cannabis are necessary, as misperceptions regarding THC could increase the risk of cannabis misuse for non‐medical purposes. Nonetheless, these actions alone are insufficient and there is a need for sustainable prevention programs that address perceptions of cannabis‐related risks and specifically target people who use cannabis, while also offering social skills training. School and university settings are ideal for implementing universal and selective programs and there are good examples that showed effectiveness in reducing cannabis (e.g., unplugged) [77].
Ethics Statement
The study protocol was approved by the Research Ethics Committee on Medicinal Products of the Principality of Asturias (ref: 2022.403). All participants gave their written informed consent before the study began.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.