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Cannabis and Psychedelics Among U.S. Young Adults: Use, Messaging Exposure, Perceptions, and Legalization Support

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05 January 2026

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07 January 2026

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Abstract
This study assessed correlates of cannabis and psychedelic use, use intentions, and legalization support among US young adults. Using 2025 survey data among adults ages 18-34 (N=3,227), we assessed cannabis and psychedelic message exposure and perceptions, mental health symptoms (MHS), and adverse childhood experiences (ACEs) in relation to past-6-month cannabis use, past-year psychedelic use, next-year use intentions, and legalization support. Past-6-month cannabis use was 40.5%; past-year psychedelic use 11.9%. Intentions, legalization support, and message exposure were high-er for cannabis than psychedelics. Psychedelics were perceived more addictive, harmful, and socially unacceptable than cannabis. Lower perceived addictiveness and harm and higher social acceptability were associated with cannabis use, intentions, and legalization support; more MHS with use and legalization support; residence in states with legal nonmedical cannabis, more ACEs, and more promotional and risk message exposure with use. Regarding psychedelics, more promotional message exposure, lower perceived harm, and higher acceptability were associated with use, intentions, and legalization support; more risk message exposure and ACEs with use and use intentions; more MHS and lower addictiveness with use and legalization support. Perceptions and MHS may influence cannabis and psychedelics use and legalization sup-port; message exposure may be particularly relevant for psychedelic use and legalization support.
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1. Introduction

Psychedelics are intoxicating substances that can produce mood and cognitive alterations and hallucinations [1,2]. Psychedelics include classic serotonergic hallucinogens (e.g., lysergic acid diethylamide [LSD or “acid”], psilocybin [“magic mushrooms”]), and dissociative agents such as ketamine [1,2]. Every year, millions of people around the world use psychedelics [3,4,5]. In the US, psychedelic use prevalence has steadily risen over the past 2 decades [2,3,6], with 3.6% of US adults reporting past-year use in 2024 and particularly high rates among those ages 18-25 (6.8%), 26-29 (9.6%), and 30-34 (6.2%) [7].
Research on psychedelic benefits and risks has yielded mixed results [5,8,9,10,11,12,13,14]. Some studies indicate therapeutic benefits for treating various mental health conditions (e.g., major depressive disorder, treatment-resistant depression, PTSD, substance use disorders) [5,8,9,10,11,12,13,15,16]. Furthermore, some consider self-administered psychedelics as more effective in managing symptoms than other medical treatments [5,17]. However, therapeutic promise exists alongside risks (e.g., misuse, addiction, other mental health conditions), especially when not clinically controlled [14,18,19,20,21,22,23,24,25,26,27]. It remains unclear these associations indicate that psychedelic use contributes to these outcomes – or therapeutic use of psychedelics to treat mental health and substance use disorders [26]. Thus, further research is necessary [28,29,30].
Notably, the 1971 United Nations’ Convention on Psychotropic Substances categorized psychedelics as Schedule 1 substances in 197 countries [31], making recreational psychedelic use nearly globally prohibited [31,32]. However, renewed interest in therapeutic use has led some countries (e.g., Australia, Israel, Canada) to permit psychedelics for medical purposes. Under US federal law (the Controlled Substances Act [CSA], passed in 1970), most psychedelics are classified as Schedule I substances (i.e., no medical use, high potential abuse), but some with mild psychedelic effects are classified differently (e.g., ketamine is Schedule III) [33,34,35]. However, state laws on psychedelics vary [36]. Two states have decriminalized and created regulatory frameworks for psychedelics: 1) in 2020, Oregon legalized psilocybin for therapeutic purposes (e.g., mental health conditions); and 2) in 2022, Colorado passed a ballot to create framework for psychedelic regulation and legalization (covering psilocybin and psilocin offered in “healing centers”) [36]. Certain states have reduced penalties for psychedelic growing/use, some allow medical research, and others are developing/considering new legislation [36]. Within this context, use prevalence has shown particular increases in decriminalized states (i.e., Oregon, Colorado: 3.3% in 2019-2020 to 5.4% in 2021-2023) vs. non-decriminalized states (2.4% to 2.8%) [37].
Psychedelics’ shifting regulatory context is reminiscent of shifts for cannabis in the US. Like psychedelics, cannabis has some medical uses (e.g., pain, muscle spasticity, nausea/vomiting, seizures), but also risks (e.g., use disorder, psychosis, mood disorders, cognitive) [38]. Furthermore, the 1970 CSA also categorized cannabis as a Schedule 1 substance. Recognizing potential medical benefits, in 1996, California became the first state to legalize medical use. By December 2025, 40 states, DC, Puerto Rico, Guam, and US Virgin Islands have laws allowing medical use [39]. States have also legalized nonmedical (i.e., ‘recreational’) cannabis, starting in 2014 in Colorado and Washington; as of 2025, 25 states fully legalized cannabis for both nonmedical and medical use [39]. Notably, use prevalence has increased over the past 2 decades, with 23.4% of US adults reporting past-year use in 2024 and particularly high rates among those ages 18-25 (35.0%), 26-29 (37.7%), and 30-34 (31.7%) [7].
Perceptions of these products are important for understanding their use and the extent to which the population will support continued legal expansion. One UK-based study found that viewing drug use as a health issue, rather than a criminal issue, predicted lower perceived risk and greater psychedelic legalization support [40]. US-based studies found that psychedelic use was perceived as posing a range of psychospiritual benefits (e.g., enhanced life meaning, spirituality) but more risks (e.g., bad “trips,” accidents, impaired judgment, legal problems) [41], and that recreational use was perceived as having negative health consequences while therapeutic use was perceived as having positive health consequences [42]. Similarly, cannabis perceptions (e.g., risks, social acceptability) and interest in its medical utility in the US have generally become more favorable over the past decade [43,44,45,46,47], which have coincided with increased support for cannabis legalization [43,48].
Perceptions and attitudes are shaped by exposure to information. A US-based survey found that prominent sources of adults’ information about psychedelics were their own experiences (80%), online (e.g., websites 62%, discussion forums 57%), friends (61%), books (57%), and scientific articles (55%) [49]. Similarly, studies have documented various cannabis information sources communicating both benefits (e.g., advertising, retailers, friends/family, online) and risks (e.g., public health campaigns, warning labels, friends/family, online) [50,51,52,53,54].
Given the parallels between psychedelics and cannabis and the more recent shifts in the psychedelic regulatory and use context, it is crucial to examine attitudes and use outcomes that can inform legislative, regulatory, and prevention efforts. Factors associated with use and support for decriminalization/legalization may be similar and thus are important to understand [55]. These likely include exposure to information, highlighting both benefits and risks, as well as perceived risk and social acceptability. Additionally, given these substances’ potential therapeutic utility, whether individuals experience mental health symptoms or historic trauma like adverse childhood events (ACEs) may also impact their perceptions of these substances [5,8,9,10,11,12,13,15,16,38]. This study assessed cannabis and psychedelic use, use intentions, and legalization support, as well as potential correlates (mental health, ACEs, promotional and risk message exposure, perceived risk and social acceptability). Message exposure, perceptions, use intentions, and legalization support for cannabis vs. psychedelics were also compared.

2. Materials and Methods

2.1. Study Overview

This study used survey data (collected in June-November 2024, Wave 4 [W4]) among young adults participating in the Cannabis Regulation, Marketing, and Appeal (CARMA) study. CARMA is a longitudinal investigation of nonmedical cannabis retail, marketing, and use that launched in 2023 and involves 5 waves of survey data, each 6 months apart [56]. The study was approved by the George Washington University Institutional Review Board.

2.2. Participants and Recruitment

In June-November 2023, advertisements targeting eligible young adults (English-speaking US residents ages 18-34, those with highest cannabis use prevalence [7]) were posted on Facebook. After clicking on advertisements, individuals were messaged via chatbot on Facebook Messenger (which verified each individual had a Facebook account and precluded duplicate chatbot interactions). The chatbot provided an abbreviated study overview, assessed key factors (age, state of residence, race, ethnicity, sex, past-month cannabis use), and provided individuals deemed preliminarily eligible a unique link to the study webpage which expired after a single use. There, formal consent was obtained, eligibility was confirmed, and the baseline survey was administered. Participants were told that the study required a valid email address and phone number and confirming their participation by clicking a link in an email sent 7 days post-baseline survey (which allowed study staff to verify contact information and review survey data for logical responses, etc.). After confirming, they received their incentive ($10 Amazon e-gift card). Purposive, quota-based recruitment was used to ensure representation of key subgroups (i.e., ~50% past-month cannabis use, ~50% males and females, ~40% racial/ethnic minorities) to power subgroup analyses.
Overall, 6,908 individuals completed chatbot pre-screening, 6,128 (88.7%) were preliminarily eligible, 5,827 (95.6%) visited the study webpage, 5,672 (97.3%) were consented and eligible, 4,385 (77.3%) completed the survey and were sent confirmation emails, and 4,031 (91.9%) confirmed participation. Current analyses focused on the 3,240 (80.4%) participants who completed the Wave 4 survey (February-May 2025) and had complete data on measures included in these analyses (n=3,227).

2.3. Measures

All measures were collected at W4, except for sociodemographic characteristics, which were assessed at W1.

2.3.1. Dependent Variables

At each wave, cannabis use was assessed by asking, “This question refers to marijuana, also known as cannabis, pot, weed, hash, kush, etc., including dried herb, edibles, oils, hash or kief, concentrates, beverages, tinctures, lotions, and other marijuana products. (Do not include hemp-derived cannabinoids, like Delta-8-THC, etc.) In the past 6 months, how many days did you use cannabis?” Past 6-month use was assessed at each wave to account for time between assessments [57,58].
At W4, we assessed psychedelic use by asking, “Psychedelic are drugs that can temporarily alter a person’s mood, thoughts, and perceptions. Have you ever used: ‘acid’ (LSD); ‘magic mushrooms’ (Psilocybin, Amanita); ‘ecstasy/molly’ (MDMA); ketamine; DMT; tianeptine (aka Neptune’s fix, Tianaa, zaza, gas station heroin); salvia; or another psychedelic” (no, yes, refuse) [57]. Participants reporting ever using magic mushrooms were asked, “What kind of magic mushrooms have you used? (Check all that apply): Psilocybin; Amanita; other; don’t know/remember; refuse” [57]. For each substance participants reported ever using, participants were asked, “In the past 12 months, on how many days did you use [product]?” [57]. Past-year use was assessed to compare use rates in our sample with those in other studies (e.g., National Survey on Drug Use and Health) [7]. A variable was created to indicate any vs. no past-year psychedelic use.
Cannabis and psychedelic use intentions were assessed by asking, “How likely are you to try or continue to use each of the following products in the next year?” with regard to: marijuana; ‘acid’ (LSD); ‘magic mushrooms’ (Psilocybin/Amanita); ‘ecstasy/molly’ (MDMA); and ketamine (1=not at all to 7=extremely) [57]. An index score summarizing psychedelic use intentions was created by taking the average of responses for the 4 psychedelics (Cronbach’s α=.82).
Cannabis and psychedelic legalization support was assessed by asking participants to rate their level of agreement with these statements: 1) “The use of [marijuana; psychedelics] for justified medical reasons should be legal at the federal level”; 2) “The use of [marijuana; psychedelics] for recreational purposes should be legal at the federal level” (1=strongly disagree to 5=strongly agree; average across 2 items calculated as summary score for each substance; Cronbach’s α=.82 for each) [43,59,60].

2.3.2. Independent Variables

Mental health symptoms were assessed using the Patient Health Questionnaire-4 (PHQ-4) [61], which includes 2 items assessing past 2-week depressive symptoms and 2 for anxiety (0=not at all to 3=nearly every day). Sum scores were created (range: 0-12; Cronbach’s α=.89). ACEs were assessed at W1 using the ACEs – 10 item scale, which assesses maltreatment and household challenges before the age of 18 (0=no, 1=yes; sum score range 0-10; Cronbach’s α=.81) [62].
Promotional message exposure was assessed by asking, “In the past 6 months, how often have you noticed advertisements or promotions (online; in stores/kiosks; on outdoor signs, billboards, TV, movies or radio; in newspapers or magazines; or via mail, email, text messaging) for: 1) marijuana; or 2) psychedelics, such as ‘acid’ (LSD), ‘magic mushrooms’ (Psilocybin, Amanita), or ‘ecstasy/molly’ (MDMA)” (0=not at all; 1=less than once/month; 2=1-3 times/month; 3=1-3 times/week; 4=daily or almost daily; 5=more than once/day) [50,63]. If participants reported any exposure to such messages for psychedelics, they were asked, “For which psychedelics did you see advertisements or promotions? (Check all that apply): ‘acid’ (LSD); ‘magic mushrooms’ (Psilocybin, Amanita); ‘ecstasy/molly’ (MDMA); other.” Risk message exposure was assessed by asking, “In the past 6 months, how often have you heard or seen information, for example, in educational or public health campaigns, or news stories (online; in stores/kiosks; on outdoor signs, billboards, TV, movies or radio; in newspapers or magazines; or via mail, email, text messaging) about risks related to…” with regard to the same products (using the same response options), with the same follow-up question to indicate psychedelic(s) addressed [50,63].
Participants were also asked about product perceptions – specifically related to addictiveness, harm to health, and social acceptability – by asking, “How [addictive; harmful to your health; socially acceptable] do you think the use of the following products are? marijuana; ‘acid’ (LSD); ‘magic mushrooms’ (Psilocybin, Amanita); ‘ecstasy/molly’ (MDMA); and ketamine” (1=not at all to 7=extremely) [63]. An index score summarizing each perception for psychedelics was created by taking the average of responses for the 4 psychedelics (Cronbach’s α=.85, .85, and .87).

2.3.3. Covariates

Sociodemographics included age, sex at birth, sexual orientation, ethnicity, race, education level, relationship status, parental status, and community type (rural, micropolitan/suburban, metropolitan/urban). Participants’ report of state of residence were coded for state cannabis regulatory context (no legal cannabis, medical legal, nonmedical/medical legal).

2.4. Data Analysis

Descriptive analyses characterized participants’ sociodemographics, cannabis and psychedelic use status and intentions, legalization support, mental health, ACEs, promotional and risk message exposure, and perceptions overall and by past 6-month cannabis use and past-year psychedelic use status. We also assessed correlations among mental health, ACEs, message exposure, perceptions, use intentions, and legalization support for cannabis and psychedelics (see Supplementary Table S1).
Two multivariable binary logistic regression models assessed sociodemographics, mental health, ACEs, message exposure, and perceptions in relation to past 6-month cannabis use and past-year psychedelic use, including cannabis-specific message exposure and perceptions for cannabis and psychedelic-specific message exposure and perception for psychedelics. The, 4 multivariable linear regression models assessed these factors in relation to next-year cannabis and psychedelic use intentions and legalization support (controlling for use status). All analyses were conducted using SPSS v27, and significance was set at p<.05.

3. Results

3.1. Participant Characteristics

Shown in Table 1, participants were age 26.38 (SD=4.77) on average, 38.7% male, 27.7% sexual minority, 19.1% Hispanic, 65.5% White, 12.5% Black, 15.1% Asian, 6.8% other race, 52.6% <Bachelor’s degree educated, 41.2% married/cohabitating, 29.8% parents, and 49.7% metropolitan/urban.

3.2. Comparisons of Cannabis vs. Psychedelic Use & Related Factors

Overall, 40.5% (n=1,307) reported past 6-month cannabis use. Past-year use of any psychedelic was reported by 11.9% (n=385), with the most endorsed being psilocybin/amanita (8.6%), MDMA (4.3%), and LSD (3.5%). Notably, 69 participants (2.1% of the W4 sample) reported past-year psychedelic use but no past 6-month cannabis use, 991 (30.7%) reported past 6-month cannabis use but no past-year psychedelic use, and 316 (9.8%) used both (Table 1).
Use intentions were higher for cannabis vs. all psychedelics (M=3.34, SD=2.51 vs. M=1.55, SD=1.21, p<.001; Table 1). Supplementary Table S2 displays next-year use intentions for cannabis and each psychedelic assessed, as well as for the overall psychedelic index score, showing that 50.1% of the sample reported higher use intentions for cannabis (43.9% equal, 5.5% higher for psychedelics). Of the psychedelics, use intentions were highest for psilocybin/amanita (M=1.76, SD=1.57 vs. M=1.55, SD=1.21 across all psychedelics).
Legalization support was higher for cannabis than psychedelics (p’s<.001; Table 2). Furthermore, compared to cannabis, only 8.0% were more supportive of legalizing psychedelics (26.0% equal, 66.0% less; Supplementary Table S2).
Promotional and risk message exposure was higher for cannabis vs. psychedelics (p’s<.001), and on average, psychedelics (vs. cannabis) were perceived as more addictive, more harmful, and less socially acceptable (p’s<.001; Table 2). Supplementary Table S2 shows perceptions for cannabis and each psychedelic assessed, as well as for the overall psychedelic index score. Relative to cannabis, 45.7% perceived psychedelics as more addictive (19.7% equal, 34.6% less), 88.1% more harmful (15.4% equal, 11.9% less), and 82.4% less socially acceptable (13.2% equal, 4.3% more; Supplementary Table S2). Notably, across psychedelics and cannabis, psilocybin/amanita was perceived as least addictive (M=4.15, SD=2.03 vs. M=4.54, SD=1.78 across all psychedelics and M=4.24, SD=1.85 for cannabis), and among the psychedelics, psilocybin/amanita was perceived as least harmful (M=4.59, SD=1.98 vs. M=5.12, SD=1.60 for all psychedelics) and most socially acceptable (M=3.13, SD=1.95 vs. M=2.73, SD=1.66 for all psychedelics, p’s<.001; Supplementary Table S2).

3.3. Bivariate Analyses Assessing Factors Associated with Cannabis & Psychedelic Use

Table 1 shows bivariate results assessing sociodemographics associated with past 6-month cannabis use (older age, sexual minority, Hispanic, White vs. Asian, <Bachelor’s degree educated, having children) and past-year psychedelic use (older, male, sexual minority, White vs. Asian, urban). Table 2 shows bivariate results assessing support, psychosocial factors, message exposure, and perceptions in relation to past 6-month cannabis use status and past-year psychedelic use status. Factors related to both use outcomes included greater support and risk minimization, more mental health symptoms and ACEs, greater promotional and risk message exposure, lower perceived addictiveness and harm, and greater perceived social acceptability pertaining to both cannabis and psychedelics.

3.4. Multivariable Analyses Assessing Correlates of Cannabis Use, Intentions & Legalization Support

Shown in Table 3, factors associated with past 6-month cannabis use included being in a state with legal nonmedical cannabis (vs. no legalized cannabis), older, male, sexual minority, Black (vs. White), White (vs. Asian), <Bachelor’s degree educated, and urban (vs. rural), as well as reporting more mental health symptoms and ACEs, more promotional and risk message exposure, lower perceived addictiveness and harm, and higher perceived social acceptability. Correlates of cannabis use intentions included identifying as sexual minority and White (vs. Black) and reporting lower perceived addictiveness and harm, higher perceived social acceptability, and past 6-month use. Factors associated with cannabis legalization support included being sexual minority, White (vs. Asian), ≥Bachelor’s degree educated, and suburban (vs. rural), and reporting more mental health symptoms, lower perceived addictiveness and harm, higher perceived social acceptability, and past 6-month use.

3.5. Multivariable Analyses Assessing Correlates of Psychedelic Use, Intentions & Legalization Support

Shown in Table 4, correlates of past-year psychedelic use included being male, Black (vs. White), and urban (vs. rural), as well as reporting more mental health symptoms and ACEs, more promotional and risk message exposure, lower perceived addictiveness and harm, and higher perceived social acceptability. Factors associated with psychedelic use intentions included being male, Black (vs. White), <Bachelor’s degree educated, and parents, as well as reporting more ACEs, more promotional and risk message exposure, lower perceived harm, higher perceived social acceptability, and past-year use. Correlates of psychedelic legalization support included being older, male, and sexual minority, as well as reporting more mental health symptoms, more promotional message exposure, lower perceived addictiveness and harm, higher perceived social acceptability, and past-year psychedelic use.

4. Discussion

In this sample of US young adults, representing ~40% past 6-month cannabis use, 11.9% reported past-year psychedelic use (most commonly psilocybin/amanita). These rates are higher than national past-year use rates in this age group (cannabis: ~34.8%; psychedelics: ~7.5%) [7], likely due to purposive sampling of ~50% reporting baseline cannabis use. Psychedelic perceptions were less favorable than cannabis perceptions, likely related to the longer-standing cannabis legality in certain states [64]. Diffusion of Innovation theory describes how communication within a social system shapes opinions about ideas over time, with growing support as the proportion of the population favorably perceiving the idea increases and expands communication about potential benefits [65,66,67]. This theory also suggests the importance of exposure to relevant information (both favorable and unfavorable), as these exposures influence perceptions and attitudes, and ultimately behavior [65,66,67].
Interestingly, while perceptions were associated with all use and legalization support outcomes, message exposure was only associated with one cannabis-related outcome – use, likely because those who use cannabis are more exposed to advertising and information at points-of-sale, as well as warnings on advertisements and products [58]. Meanwhile, promotional message exposure was associated with psychedelic use, use intentions, and legalization support, which may reflect that these information sources are more important early in the diffusion process than later, as people have more established perceptions based on their individual experiences [65,66,67]. Additionally, risk message exposure was associated with psychedelic use, likely for the same reasons that risk message exposure was associated with cannabis use [58].
Reporting more mental health symptoms was associated with cannabis use and legalization support and with psychedelic use and legalization support. Additionally, reporting more ACEs was associated with cannabis use and with psychedelic use and use intentions. This may reflect some studies that point to potential therapeutic benefits for treating certain mental health conditions, including depression, anxiety, and PTSD – both for psychedelics [5,8,9,10,11,12,13,15,16] and cannabis [38], and that some may view drug use as a health (vs. criminal) issue, which may increase legalization support [40].
Notably, state cannabis laws were only associated with one outcome – cannabis use, which may suggest that other factors play a more powerful role. Various sociodemographic factors showed anticipated associations, based on prior research documenting use rates or support among certain subgroups [7,40,68]. For example, factors associated with certain outcomes included being male (cannabis use; psychedelic use, intentions and legalization support), sexual minority (cannabis use, intentions, and legalization support; psychedelic legalization support), Black (vs. White; cannabis use but lower intentions; psychedelic use and intentions), and White (vs. Asian; cannabis use and legalization support), <Bachelor’s degree educated (cannabis use, psychedelic intentions), ≥Bachelor’s degree educated (cannabis legalization support), and urban or suburban (vs. rural; cannabis and psychedelic use; cannabis legalization support).
This study is limited in generalizability, given social media-based recruitment and purposive sampling of ~50% young adults reporting past-month cannabis use. Additionally, self-reported measures introduce potential bias and are not inclusive of all potential mechanisms of cannabis and psychedelic related outcomes. Relatedly, we acknowledge that the different time frames used for cannabis and psychedelic use (past 6-month vs. past-year) may have impacted findings. Finally, data were cross-sectional, precluding causal inference and preventing examination of temporal relationships between psychosocial factors and use patterns. Thus, future research using longitudinal designs and assessing a larger range of variables with representative samples is needed.

5. Conclusions

Perceptions and mental health may influence use and legalization support for cannabis and psychedelics among US young adults. Psychedelics were viewed as riskier and less acceptable, with less legalization support than cannabis. Furthermore, messaging exposure may be particularly key in shaping psychedelic use and legalization support. Policy and public health should pair trauma-informed prevention and harm-reduction with balanced, evidence-based communication as jurisdictions weigh psychedelic policy.

Supplementary Materials

The following supporting information can be downloaded at: Preprints.org, Table S1: Pearson correlations among psychosocial factors, message exposure, perceptions, and support; Table S2: Cannabis and psychedelic perceptions, use intentions, and legalization support among US young adults, N=3,227.

Author Contributions

C.J. Berg: Conceptualization, Data curation, Formal data analysis, Supervision, Investigation, Methodology, Resources, Funding acquisition, Writing – original draft, Writing – review & editing. D.M. McCready: Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing. C.R. LoParco: Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing. L.C. Schubel: Conceptualization, Methodology, Writing – review & editing. P.A. Cavazos-Rehg.: Conceptualization, Supervision, Investigation, Methodology, Funding acquisition, Writing – review & editing. E. Kasson: Conceptualization, Methodology, Writing – review & editing. S. Thakkar: Conceptualization, Methodology, Writing – review & editing. D. Ndisebuye: Conceptualization, Methodology, Writing – review & editing. Y.T. Yang: Conceptualization, Investigation, Methodology, Writing – review & editing.

Funding

This work was supported by the National Institute on Drug Abuse (R01DA054751, MPIs: Berg, Cavazos-Rehg).

Institutional Review Board Statement

This study was approved by the George Washington University Institutional Review Board (NCR224124).

Informed Consent Statement

All participants provided informed consent.

Data Availability Statement

The datasets used and/or analyzed in the current study are available from the corresponding author upon reasonable request.

Acknowledgments

N/A.

Conflicts of Interest

The authors report there are no competing interests to declare.

Abbreviations

The following abbreviations are used in this manuscript:
ACEs Adverse childhood events
DMT Dimethyltryptamine
LSD lysergic acid diethylamide
MDMA 3,4-methylenedioxymethamphetamine
PHQ-4 Patient Health Questionnaire – 4 item
PTSD Post-traumatic stress disorder
THC Tetrahydrocannabinol

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Table 1. Characteristics of US young adults overall and by past 6-month cannabis use status and past-year psychedelic use status (N=3,227).
Table 1. Characteristics of US young adults overall and by past 6-month cannabis use status and past-year psychedelic use status (N=3,227).
Past 6-month cannabis use Past-year psychedelic use
All
N=3,227
No
n=1,920 (59.5%)
Yes
n=1,307 (40.5%)
No
n=2,842 (88.1%)
Yes
n=385 (11.9%)

Variable
M (SD)
or n (%)
M (SD)
or n (%)
M (SD)
or n (%)

p
M (SD)
or n (%)
M (SD)
or n (%)

p
Cannabis law (n, %) .209 .224
 No legal cannabis 652 (20.5) 408 (21.2) 246 (18.8) 584 (20.8) 68 (18.0)
 Medical cannabis legal 900 (27.9) 533 (27.7) 367 (28.0) 797 (28.0) 103 (26.8)
 Nonmedical cannabis legal 1,675 (51.9) 981 (51.0) 699 (53.3) 1,461 (51.4) 214 (55.6)
Sociodemographic factors
Age (M, SD) 26.38 (4.77) 26.17 (4.85) 26.71 (4.64) .002 26.30 (4.80) 26.96 (4.55) .011
Male (n, %) 1,240 (38.7) 747 (39.1) 496 (38.1) .566 1045 (37.0) 195 (51.0) <.001
Sexual minority (n, %) 872 (27.7) 412 (22.1) 461 (35.6) <.001 742 (26.7) 130 (34.3) .002
Hispanic (n, %) 606 (19.1) 337 (17.8) 272 (21.0) .015 527 (18.8) 79 (20.8) .208
Race (n, %) <.001 <.001
 White 2,041 (65.5) 1,193 (64.3) 851 (67.2) 1,811 (66.0) 230 (62.3)
 Black 390 (12.5) 184 (9.9) 206 (16.3) 323 (11.8) 67 (18.2)
 Asian 471 (15.1) 368 (19.8) 105 (8.3) 436 (15.9) 35 (9.5)
 Other 213 (6.8) 109 (5.9) 105 (8.3) 176 (6.4) 37 (10.0)
Education <Bachelor’s (n, %) 1,686 (52.6) 871 (45.7) 817 (62.5) <.001 1,470 (52.1) 216 (56.1) .077
Relationship status (n, %) .381 .451
 Single/other 1,899 (58.8) 1,143 (59.5) 760 (57.9) 1,669 (58.7) 230 (59.7)
 Married/cohabitating 1,328 (41.2) 779 (40.5) 552 (42.1) 1,173 (41.3) 155 (40.3)
Parent/has children (n, %) 962 (29.8) 522 (27.2) 443 (33.8) <.001 853 (30.0) 109 (28.3) .267
Community type (n, %) .579 .002
 Rural 639 (19.8) 382 (19.9) 258 (19.7) 582 (20.5) 57 (14.8)
 Micropolitan/suburban 983 (30.5) 599 (31.2) 388 (29.6) 878 (30.9) 105 (27.3)
 Metropolitan/urban 1,603 (49.7) 941 (49.0) 664 (50.7) 1380 (48.6) 223 (57.9)
Use status (n, %)
Past 6-month cannabis use 1,307 (40.5) - - - - -- 991 (34.9) 316 (82.1) <.001
Past-year psychedelics use 385 (11.9) 69 (3.6) 316 (24.2) <.001 - - - - --
Use intentions (M, SD)
Cannabis 3.34 (2.51) 1.79 (1.52) 5.60 (1.88) <.001 3.06 (2.44) 5.37 (2.04) <.001
Psychedelics^ 1.55 (1.21) 1.30 (0.97) 1.91 (1.42) <.001 1.34 (0.97) 3.06 (1.67) <.001
Notes: ^Cronbach’s α for next-year use intentions (for LSD, psilocybin/amanita, MDMA, and ketamine)=.82. Lifetime use of any psychedelic was reported by 27.7% of participants, with the most commonly endorsed psychedelics being psilocybin/amanita (20.6%), MDMA (16.0%), and LSD (13.5%).
Table 2. Legalization support, psychosocial factors, message exposure, and perceptions overall and by past 6-month cannabis use status and past-year psychedelic use status (N=3,227)
Table 2. Legalization support, psychosocial factors, message exposure, and perceptions overall and by past 6-month cannabis use status and past-year psychedelic use status (N=3,227)
Past 6-month cannabis use Past-year psychedelic use
All
N=3,227
No
n=1,920 (59.5%)
Yes
n=1,307 (40.5%)
No
n=2,842 (88.1%)
Yes
n=385 (11.9%)

Variable
M (SD)
or n (%)
M (SD)
or n (%)
M (SD)
or n (%)

p
M (SD)
or n (%)
M (SD)
or n (%)

p
Legalization support (M, SD) a
Cannabis 3.88 (1.18) 3.54 (1.23) 4.39 (0.91) <.001 3.83 (1.20) 4.31 (0.95) <.001
Psychedelics 2.83 (1.24) 2.63 (1.19) 3.13 (1.24) <.001 2.72 (1.21) 3.67 (1.16) <.001
Psychosocial factors (M, SD)
PHQ-4 – Mental health symptoms 3.61 (3.38) 3.39 (3.28) 3.95 (3.50) <.001 3.46 (3.32) 4.73 (3.64) <.001
 PHQ-4 – depressive symptoms 1.63 (1.73) 1.51 (1.67) 1.82 (1.82) <.001 1.55 (1.70) 2.20 (1.89) <.001
 PHQ-4 – anxiety symptoms 1.98 (1.90) 1.88 (1.85) 2.14 (1.97) <.001 1.91 (1.87) 2.54 (2.02) <.001
ACEs 2.70 (2.68) 2.20 (2.45) 3.45 (2.82) <.001 2.56 (2.61) 3.74 (2.93) <.001
Past 6-month message exposure (M, SD)
Promotional message exposure
 Cannabis 1.32 (1.39) 1.16 (1.32) 1.55 (1.44) <.001 1.25 (1.36) 1.86 (1.44) <.001
 Psychedelics 0.27 (0.74) 0.17 (0.57) 0.40 (0.92) <.001 0.18 (0.60) 0.86 (1.25) <.001
Risk message exposure
 Cannabis 0.88 (1.17) 0.72 (1.05) 1.10 (1.29) <.001 0.81 (1.13) 1.34 (1.36) <.001
 Psychedelics 0.26 (0.75) 0.17 (0.58) 0.40 (0.93) <.001 0.20 (0.64) 0.72 (1.22) <.001
Perceptions (M, SD) c
Addictiveness
 Cannabis 4.24 (1.85) 4.54 (1.82) 3.80 (1.80) <.001 4.29 (1.85) 3.88 (1.78) <.001
 Psychedelics 4.54 (1.78) 4.79 (1.77) 4.18 (1.74) <.001 4.64 (1.78) 3.79 (1.57) <.001
Harm
 Cannabis 3.55 (1.85) 4.05 (1.83) 2.82 (1.61) <.001 3.62 (1.86) 3.03 (1.68) <.001
 Psychedelics 5.12 (1.60) 5.38 (1.56) 4.73 (1.58) <.001 5.26 (1.56) 4.07 (1.50) <.001
Social acceptability
 Cannabis 5.22 (1.93) 4.79 (2.06) 5.86 (1.49) <.001 5.14 (1.96) 5.80 (1.56) <.001
 Psychedelics 2.73 (1.67) 2.44 (1.60) 3.16 (1.67) <.001 2.55 (1.59) 4.08 (1.57) <.001
Notes: Cronbach’s α for cannabis and psychedelics: a legalization support=.82, .82; and b minimal risk concern=.81, .81.c Cronbach’s α for 3 psychedelic index scores (perceived addictiveness, harm, social acceptability) for LSD, psilocybin/amanita, MDMA, and ketamine=.85, .85, .87.
Table 3. Multivariable linear regression models assessing sociodemographic, psychosocial factors, message exposure, and perceptions in relation to past 6-month cannabis use, next-year cannabis use intentions, and cannabis legalization support among US young adults (N=3,227)
Table 3. Multivariable linear regression models assessing sociodemographic, psychosocial factors, message exposure, and perceptions in relation to past 6-month cannabis use, next-year cannabis use intentions, and cannabis legalization support among US young adults (N=3,227)
Past 6-month use Use intentions Legalization support
Variables aOR 95% CI p B SE p B SE p
Cannabis law (ref: no legal cannabis)
 Medical cannabis legal 1.29 1.00, 1.67 .050 -0.14 0.09 .108 0.10 0.05 .072
 Nonmedical cannabis legal 1.51 1.19, 1.91 .001 -0.08 0.08 .318 0.06 0.05 .195
Sociodemographic factors
Age 1.03 1.01, 1.05 .004 0.01 0.01 .313 0.01 0.00 .261
Male (ref: female) 1.28 1.06, 1.56 .012 0.10 0.07 .144 0.05 0.04 .208
Sexual minority (ref: heterosexual) 1.30 1.06, 1.59 .012 0.29 0.07 <.001 0.23 0.04 <.001
Hispanic (ref: non-Hispanic) 1.14 0.89, 1.45 .291 -0.05 0.09 .527 -0.07 0.05 .190
Race (ref: White)
 Black 1.78 1.35, 2.34 <.001 -0.26 0.10 .008 -0.07 0.06 .224
 Asian 0.73 0.54, 0.99 .044 -0.12 0.10 .201 -0.21 0.06 <.001
 Other 1.20 0.90, 1.61 .220 -0.12 0.10 .234 0.01 0.06 .855
Education <Bachelor’s (ref: ≥Bachelor’s) 1.58 1.30, 1.92 <.001 0.10 0.07 .149 -0.10 0.04 .019
Married/cohabitating (ref: single/other) 0.86 0.70, 1.06 .154 0.01 0.07 .843 0.07 0.04 .103
Parent/has child (ref: no) 1.27 1.00, 1.61 .050 0.05 0.08 .539 -0.07 0.05 .143
Community type (ref: rural)
 Micropolitan/suburban 1.20 0.93, 1.54 .169 0.02 0.09 .840 0.11 0.05 .032
 Metropolitan/urban 1.30 1.02, 1.67 .036 0.08 0.08 .348 0.07 0.05 .196
Psychosocial factors
PHQ-4 1.04 1.01, 1.07 .008 -0.02 0.01 .071 0.02 0.01 .007
ACEs 1.10 1.06, 1.14 .000 0.00 0.01 .937 0.00 0.01 .976
Past 6-month cannabis message exposure
Promotional message exposure 1.08 1.01, 1.17 .032 0.00 0.03 .971 0.02 0.02 .129
Risk message exposure 1.27 1.17, 1.39 <.001 0.06 0.03 .060 0.01 0.02 .516
Perceptions of cannabis
Addictiveness 0.88 0.83, 0.93 <.001 -0.07 0.02 <.001 -0.04 0.01 .002
Harm 0.75 0.71, 0.80 <.001 -0.07 0.02 .001 -0.16 0.01 <.001
Social acceptability 1.26 1.19, 1.33 <.001 0.23 0.02 <.001 0.19 0.01 <.001
Past 6-month cannabis use -- -- -- -- 3.41 0.07 <.001 0.34 0.04 <.001
Nagelkerke R-square .301a .613b .352b
Notes: a Nagelkerke R-square; b Adjusted R-square.
Table 4. Multivariable linear regression models assessing sociodemographics, psychosocial factors, message exposure, and perceptions in relation to past-year psychedelic use, next-year psychedelic use intentions, and psychedelic legalization support among US young adults (N=3,227)
Table 4. Multivariable linear regression models assessing sociodemographics, psychosocial factors, message exposure, and perceptions in relation to past-year psychedelic use, next-year psychedelic use intentions, and psychedelic legalization support among US young adults (N=3,227)
Past-year use Use intentions Legalization support
Variables B SE p B SE p B SE p
Cannabis law (ref: no legal cannabis)
 Medical cannabis legal 1.20 0.79, 1.81 .395 -0.06 0.05 .262 0.00 0.06 .943
 Nonmedical cannabis legal 1.42 0.98, 2.05 .068 -0.09 0.05 .056 0.10 0.06 .068
Sociodemographic factors
Age 1.02 0.99, 1.06 .179 0.00 0.00 .727 0.02 0.01 .001
Male (ref: female) 1.77 1.32, 2.38 <.001 0.09 0.04 .027 0.14 0.05 .002
Sexual minority (ref: heterosexual) 0.87 0.64, 1.18 .375 -0.07 0.04 .093 0.31 0.05 <.001
Hispanic (ref: non-Hispanic) 0.98 0.68, 1.42 .919 0.03 0.05 .594 -0.07 0.06 .227
Race (ref: White)
 Black 1.59 1.06, 2.39 .025 0.12 0.06 .042 -0.04 0.07 .526
 Asian 0.85 0.53, 1.36 .504 0.09 0.06 .130 0.09 0.07 .167
 Other 1.35 0.88, 2.07 .165 -0.01 0.06 .848 -0.03 0.07 .659
Education <Bachelor’s (ref: ≥Bachelor’s) 0.99 0.73, 1.33 .933 0.10 0.04 .013 0.05 0.05 .291
Married/cohabitating (ref: single/other) 0.94 0.70, 1.28 .705 -0.01 0.04 .799 0.02 0.05 .649
Parent/has child (ref: no) 1.00 0.70, 1.44 .983 0.11 0.05 .030 -0.05 0.06 .355
Community type (ref: rural)
 Micropolitan/suburban 1.30 0.84, 1.99 .239 -0.10 0.05 .050 0.04 0.06 .513
 Metropolitan/urban 1.52 1.02, 2.28 .041 0.01 0.05 .884 0.11 0.06 .057
Psychosocial factors
PHQ-4 1.06 1.02, 1.11 .007 0.01 0.01 .059 0.02 0.01 .011
ACEs 1.15 1.09, 1.21 <.001 -0.02 0.01 .003 0.00 0.01 .727
Past 6-month psychedelic message exposure
Promotional message exposure 1.61 1.36, 1.91 <.001 0.13 0.03 <.001 0.09 0.04 .016
Risk message exposure 1.29 1.08, 1.54 .005 0.13 0.03 <.001 -0.02 0.03 .565
Perceptions of psychedelics
Addictiveness 0.87 0.78, 0.97 .012 0.00 0.01 .880 -0.03 0.02 .043
Harm 0.74 0.66, 0.82 <.001 -0.04 0.02 .008 -0.19 0.02 <.001
Social acceptability 1.59 1.47, 1.73 <.001 0.29 0.01 <.001 0.15 0.01 <.001
Past-year psychedelic use -- -- -- -- 1.11 0.06 <.001 0.38 0.07 <.001
R-square .353a .413b .246b
Notes: a Nagelkerke R-square; b Adjusted R-square.
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