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. Author manuscript; available in PMC: 2026 Jan 20.
Published in final edited form as: Am J Prev Med. 2025 Jul 26;70(3):107994. doi: 10.1016/j.amepre.2025.107994

Medical Cannabis Use Across Ages 19–65: U.S. Young and Middle Adults, 2018–2023

Yvonne M Terry-McElrath 1,*, Megan E Patrick 1
PMCID: PMC12814403  NIHMSID: NIHMS2117774  PMID: 40721145

Abstract

Introduction.

This study provides national data on cannabis use type (medical vs. recreational-only) across ages 19–65 and associations with overall cannabis use prevalence and frequency, including developmental and historical trends and sociodemographic and policy associations.

Methods.

Data collected in 2018–2023 from individuals (N=33,647) ages 19–65 participating in the Monitoring the Future Panel study were analyzed in 2024–2025. Developmental and historical trends and regression analyses examined past 12-month cannabis use type: no use, recreational-only, or any medical cannabis used from their own written medical recommendation/prescription (with or without recreational use).

Results.

Medical use was reported by 2.6% [2.3%, 2.8%] of all respondents and 9.8% [9.0%, 10.6%] of those reporting past 12-month use. Among all respondents, medical use prevalence did not evidence significant developmental trends; among those reporting past 12-month use, there was an age-graded increase in medical use (p<.001) corresponding to an age-graded decrease in recreational-only use (p<.001). Medical use prevalence increased across time in states with medical use only policy (p=0.002) but not in other states, and was associated with being male (p<.001). Past 30-day cannabis prevalence and frequency were higher among medical than recreational-only use groups across ages (p<.001).

Conclusions.

Among U.S. young and middle adults, the proportion reporting medical use was consistent across age; observed age-graded increases in medical use among those reporting past 12-month cannabis use were due to decreasing recreational-only use. Medical use was associated with higher past 30-day frequency across age, indicating it acts as a consistent risk factor for daily or near-daily use.

Introduction

Cannabis use among young and middle adults (ages 19–30 and 35–65) has been rising.1,2,3,4,5 Significant increases from 2018 to 2023 were observed for past 12-month use (38.7% to 42.4% for young adults; 19.0% to 29.3% for middle adults) and daily or near-daily use (8.6% to 10.4% for young adults; 4.3% to 7.5% for middle adults).3 High-frequency use is associated with cannabis use disorder among those using cannabis overall6,7 and those reporting only medical use (use with a personal medical recommendation from a medical professional).8 Results from non-representative studies9,10 indicate medical use (which can occur with or without recreational use11,12) is associated with higher use frequency than recreational-only use. To the degree medical use is a particularly strong risk factor for high-frequency use, awareness of potential age and other differences in medical use likelihood may be important from a public health perspective, given rapidly increasing U.S. medical cannabis program enrollment.13,14

Research on age-related differences in medical cannabis prevalence has provided mixed results. National studies have indicated lifetime medical use is most likely during the 30s and 40s.8,15 Some national U.S. studies have found past 12-month medical use is most likely at older ages (65+);16 others find no age differences.17,18 Data collected in 2015 from registered medical cannabis participants in eight states showed medical use age differences varied by state.19 Limited research has examined age-related differences in medical use frequency; one small study found similar medical use frequency across ages 18–30, 31–50, and 51–74.20 Because cannabis use mental and physical health effects change with age,21 it is important to understand age-related differences in medical use prevalence and frequency.

Research examining medical cannabis prevalence and frequency should account for known sociodemographic and policy correlates. Medical use may be more likely for males than females,8,15,19 those not married,8 and those not employed;8,17 racial/ethnic associations have been mixed.8,17 U.S. state policies legalizing medical and/or adult recreational use differ and are multi-dimensional,22,23,24,25 but lifetime medical cannabis prevalence in 2018 was higher in states where both recreational and medical use were legalized (vs. medical only).15

The current paper used national data collected in 2018–2023 from U.S. adults ages 19–65 to examine three research questions (RQs): (1) What percentages of adults reported no cannabis use, recreational-only use, and medical use (with or without recreational use) in the past 12 months, and were there developmental or historical trends in these types of use? (2) To what extent did likelihood of cannabis use types vary by sociodemographic characteristics and state policy context? (3) Did people reporting medical (vs. recreational-only) use differ in past 30-day cannabis prevalence or frequency, and did associations vary by age?

Methods

Study Sample

Data were obtained from the Monitoring the Future (MTF) Panel study.3 MTF surveys new nationally-representative samples of U.S. 12th grade students each year.26 From each annual 12th grade sample, approximately 2,450 individuals are selected for Panel study follow-up which is randomized to begin one or two years after high school (modal ages [hereafter referred to simply as age] 19 or 20).3 Six biennial young adult surveys are collected (ages 19/20, 21/22, 23/24, 25/26, 27/28, 29/30); middle adult surveys are collected every five years (ages 35, 40, 45, 50, 55, 60, and 65). Through 2021, elements of consent were included in the introductory letter for all Panel surveys; from 2022 onward, informed consent has been obtained at the beginning of each survey.3 A University of Michigan institutional review board approved the study.

Medical cannabis use measures were available for both young and middle adult surveys starting in 2018. Medical cannabis use was asked on 1/6th of young adult surveys1 in 2018, and half of young adult surveys from 2021. All middle adult surveys included medical use. The current study utilized data collected in 2018–2023 (analyzed in 2024/2025) from respondents ages 19–65 with the opportunity to answer medical cannabis measures (12th grade cohorts from 1976–2022; see Appendix Table 1). Of the 92,261 respondents purposively selected for panel participation from the noted cohorts, 36,016 (39.0%) responded to one or more panel surveys (see Statistical Analysis below for attrition adjustments), providing a total of 44,148 observations (see Appendix). Of these, 1,119 (2.5% of 43,906) were excluded because they did not reside in a U.S. state or had missing data on state of residence; 3,103 (4.8% of 43,906) had missing or conflicting data on measures used to code cannabis use type, leaving 40,926 observations from 33,647 respondents (36.5% of the original 92,216). By age group, 27,671 middle adults provided 31,955 observations (mean=1.15; range=1–2): 8,971 young adults provided 6,026 observations (mean=1.49; range=1–3). Of all observations, 51.6% were female, 47.2% male, and 1.2% other or prefer not to answer.2 Racial/ethnic distribution was 12.8% Hispanic, 3.1% non-Hispanic Asian, 11.4% non-Hispanic Black, 68.0% non-Hispanic White, and 4.6% another non-Hispanic race/ethnicity or multiracial.

Measures

Respondents were asked the number of occasions they used cannabis3 in the last 12 months and the last 30 days; response options included 0, 1–2, 3–5, 6–9, 10–19, 20–39, and 40 or more. If respondents reported any 12-month use, they were asked if they had obtained any cannabis used in the past 12 months from their own medical marijuana written recommendation/prescription (young adults); or how much of the cannabis they used came from their own written recommendation/prescription (middle adults) (see Appendix Table 2 for specific wording). Medical use was defined as using any cannabis from one’s own medical recommendation/prescription. Cannabis use type was coded as no past 12-month use, recreational-only use, or medical use with or without recreational use (hereafter referred to as medical use). Past 30-day prevalence indicated any past 30-day day use versus none. Past 30-day frequency was coded in integer values of 0, 1, 4, 7, 14, 29, and 40 occasions in the past 30 days.

At age 18, respondents self-reported sex (female, male, or [starting in 2021] other or prefer not to answer) and racial/ethnic identity (coded as Hispanic; non-Hispanic Asian; non-Hispanic Black; non-Hispanic White; or another non-Hispanic race or ethnicity or multiracial [multiracial possible from 2005 onward]). At each panel survey, respondents reported marital status (married vs. other); parental status (have children vs. not); income assistance (if any total household income came from unemployment compensation or other government assistance); and employment status (one full-time job vs. other). Respondents reported the state where they lived during the last 12 months; states were then coded for U.S. Census divisions. For multivariable models, age was coded as 19–30, 35–45, or 50–65; year of data collection was coded using dummy indicators (2018, 2019, 2020 [referent], 2021, 2022 2023).

State cannabis policy categories were coded using state medical cannabis27 and recreational laws28 effective on January 1 of each year from 2018–2023: no legal use, medical use only, or recreational+medical use (all states with adult recreational use also allowed medical use).

Statistical Analysis

Descriptive analyses used survey procedures in SAS v9.4 (SAS Institute, Inc., Cary, NC) with domain statements to obtain adjusted estimates with robust standard errors. Developmental and historical trend analyses (RQ1) used Joinpoint v5.3.0.0 (Statistical Research and Applications Branch, National Cancer Institute, Rockville, MD) specifying the weighted BIC (Bayesian Information Criterion) model selection method.29,30 For these analyses, data were aggregated to either age level (developmental trends) or year level (historical trends). Regression analyses for RQ2 and 3 used Mplus v7.4 (Muthén & Muthén, Los Angeles, CA) specifying maximum likelihood parameter estimates, type=complex with subpop statements. For RQ2 (covariate associations with cannabis use type), two multinomial regression models regressed the 3-level cannabis use type measure on sociodemographics, state policy, division, age (categorical), and year. Model 1 used “no past 12-month use” as the outcome referent to compare recreational-only versus no use, and medical versus no use. Model 2 used “recreational-only use” as the referent to compare medical versus recreational-only use (no use vs. recreational-only use also was compared, but this was already done in Model 1). For RQ3 (cannabis use type and past 30-day use prevalence and frequency associations), logistic and negative binomial regression models were fit including RQ2 covariates. Additional models examined age differences with age group × medical use interactions.

All analyses were weighted using MTF panel analysis weights to adjust for sampling and nonresponse.31 In regression models, missing covariate data were addressed by using full information maximum likelihood (FIML). Benjamini-Hochberg tests with a false discovery rate of 5% adjusted for multiple testing.32 Comparison of raw p-values with their Benjamini-Hochberg critical values (BHCV) indicated p=0.028 was the largest value that remained smaller than its BHCV. Discussion of results will be limited to those with p-values of 0.028 or lower.

Results

Out of the total 40,926 observations, 73.7% of observations reported no past 12-month cannabis use, 23.7% recreational-only use, and 2.6% medical use. Among those reporting 12-month use, 9.8% reported medical use. Table 1 provides descriptive statistics.

Table 1.

Descriptive Statistics

Variable % (95% CI)
Past 12-month cannabis use type (n=40,926)
 No 12-month use 73.7 (73.1, 74.4)
 Recreational-only use 23.7 (23.1, 24.3)
 Medical usea 2.6 (2.3, 2.8)
Past 30-day cannabis use (n=40,926)
 Prevalence 17.4 (16.8, 18.0)
 Frequency [range = 0 to 40] 3.0 (2.8, 3.1)
Sex (n=40,883)
 Female 51.6 (50.8, 52.3)
 Male 47.2 (46.5, 48.0)
 Other 1.2 (1.0, 1.4)
Race and ethnicity (n=40,506)
 Hispanic 12.8 (12.2, 13.4)
 NHb Asian 3.1 (2.8, 3.3)
 NH Black 11.4 (10.9, 12.0)
 NH White 68.0 (67.2, 68.8)
 Another NH race/ethnicity, multiracial 4.6 (4.3, 5.0)
Married (n=40,482)
 No 47.8 (47.1, 48.6)
 Yes 52.2 (51.4, 52.9)
Parental status (n=40,735)
 Do not have children 42.3 (41.5, 43.0)
 Have children 57.7 (57.0, 58.5)
Employment status (all respondents) (n=40,367)
 Not working one full time job 35.5 (34.9, 36.2)
 Working one full time job 64.5 (63.8, 65.1)
Income assistancec (n=37,335)
 No 87.3 (86.8, 87.8)
 Yes 12.7 (12.2, 13.2)
State cannabis policy categorization (n=40,926)
 No legal use 32.1 (31.4, 32.8)
 Legal medical use only 38.0 (37.4, 38.7)
 Legal recreational+medical use 29.9 (29.2, 30.5)
Age (n=40,926)
 19/20 4.0 (3.7, 4.3)
 21/22 5.6 (5.2, 5.9)
 23/24 5.8 (5.5, 6.1)
 25/26 5.9 (5.6, 6.2)
 27/28 6.3 (5.9, 6.6)
 29/30 6.6 (6.3, 7.0)
 35 9.5 (9.2, 9.9)
 40 9.9 (9.5, 10.2)
 45 10.8 (10.4, 11.1)
 50 11.0 (10.7, 11.4)
 55 11.5 (11.2, 11.9)
 60 11.4 (11.0, 11.7)
 65 1.7 (1.5, 1.8)
Division (n=40,926)
 New England 5.2 (4.9, 5.5)
 Middle Atlantic 12.3 (11.8, 12.8)
 East North Central 16.6 (16.1, 17.1)
 West North Central 7.0 (6.7, 7.4)
 South Atlantic 20.1 (19.5, 20.7)
 East South Central 6.3 (6.0, 6.7)
 West South Central 11.6 (11.1, 12.1)
 Mountain 7.3 (7.0, 7.7)
 Pacific 13.6 (13.1, 14.1)
a

Medical use indicates any medical cannabis use with or without recreational use.

b

NH = Non-Hispanic.

c

Income from unemployment/governmental assistance.

Modeled developmental trends for cannabis use type prevalence (years combined) are shown in Figure 1 (see Appendix Table 3 for age-specific prevalence estimates). Among all respondents, recreational-only use prevalence was approximately 40% across ages 19 to 28 (slope −0.001, p=0.896), decreased across ages 28 to 40 (to 19.8%; slope −0.072, p=0.020), and then continued to decrease (at a slower rate) across ages 40 to 65 (to 12.6%; slope −0.014, p=0.004). There were no significant developmental trends in medical use among all respondents. Among those reporting past 12-month use, medical use prevalence increased linearly across age from 5.2% to 16.8% across ages 19 to 65 (slope 0.011, p<.001).

Figure 1. Developmental trends from ages 19–65 in cannabis use type among U.S. adults, 2018–2023.

Figure 1.

Notes: Unweighted n = 40,926 all respondents; 10,219 respondents reporting past 12-month use. Medical use indicates any medical cannabis use with or without recreational use. Parentheses show standard errors for all slope estimates.

Modeled historical trends from 2018–2023 for cannabis use type estimates (ages combined) stratified by state policy type are shown in Appendix Table 4. There was not a significant historical trend in recreational-only use prevalence in any of the three state policy groups. Medical use prevalence increased across historical time from 1.1% in 2018 to 5.4% in 2023 in states with medical use only (0.008, p=0.002), but there were no significant historical trends in other states (Appendix Figure 1).

Table 2 provides multivariable associations between covariates and cannabis use type. The odds of medical versus no use were higher for males and respondents identifying as other sex or prefer not to answer (vs. females); non-Hispanic White (vs. Hispanic or non-Hispanic Asian) respondents; those not married (vs. married); those receiving income assistance (vs. not); those living in states with either legal medical use only or legal recreational+medical use (vs. no legal use); and those ages 35–45 (vs. 50–65). The odds of medical versus recreational-only use were higher for males (vs. females); those living in states with either legal medical use only or legal recreational+medical use (vs. no legal use); and those ages 50–65 (vs. 19–30). The odds of reporting recreational-only versus no use were higher for: males and respondents identifying as other sex or prefer not to answer (vs. females); non-Hispanic White (vs. Hispanic, non-Hispanic Asian, and non-Hispanic Black) respondents; respondents identifying as another non-Hispanic race/ethnicity or multiracial (vs. non-Hispanic White); those not married (vs. married) or without children (vs. with children); those receiving income assistance (vs. not); those in states with legal recreational+medical use (vs. no legal use); and those ages 19–30 and 35–45 (vs. 50–65).

Table 2.

Associations between sociodemographics, state policy, and past 12-month cannabis use type among U.S. adults

MODEL 1 MODEL 2
Variable No use Recreational-only use Medical usea Recreational-only use vs. no use Medical use vs. no use Medical use vs. recreational-only use
% (95% CI) % (95% CI) % (95% CI) AOR (95% CI) p AOR (95% CI) p AOR (95% CI) p
Sex
 Male 72.3 (71.3, 73.3) 24.8 (23.8, 25.7) 2.9 (2.6, 3.3) 1.18 (1.09, 1.27) <.001 1.52 (1.27, 1.83) <.001 1.29 (1.07, 1.56) 0.008
 Other 48.2 (41.7, 54.8) 46.6 (40.0, 53.2) 5.2 (2.2, 8.2) 1.76 (1.32, 2.35) <.001 2.62 (1.37, 4.99) 0.003 1.49 (0.79, 2.82) 0.222
 Female 75.7 (74.9, 76.5) 22.2 (21.3, 23.0) 2.2 (1.9, 2.4) (ref) (ref) (ref)
Race
 Hispanic 68.0 (65.6, 70.3) 29.6 (27.4, 31.9) 2.4 (1.8, 3.0) 0.81 (0.72, 0.93) 0.002 0.60 (0.43, 0.82) 0.001 0.73 (0.53, 1.01) 0.055
 NH Asian 78.7 (75.3, 82.2) 19.9 (16.6, 23.2) 1.4 (0.6, 2.2) 0.54 (0.43, 0.67) <.001 0.28 (0.15, 0.50) <.001 0.51 (0.29, 0.93) 0.027
 NH Black 76.7 (74.4, 79.0) 21.0 (18.9, 23.1) 2.3 (1.3, 3.3) 0.81 (0.70, 0.94) 0.005 0.88 (0.56, 1.39) 0.588 1.09 (0.69, 1.74) 0.714
 NH Other/multiracialb 65.4 (61.5, 69.2) 31.1 (27.3, 35.0) 3.5 (2.3, 4.7) 1.24 (1.03, 1.50) 0.022 1.10 (0.75, 1.61) 0.622 0.89 (0.60, 1.31) 0.548
 NH White 74.8 (74.1, 75.5) 22.6 (21.9, 23.2) 2.6 (2.4, 2.8) (ref) (ref) (ref)
Married
 No 63.7 (62.6, 64.8) 33.2 (32.1, 34.3) 3.1 (2.8, 3.5) 1.68 (1.54, 1.83) <.001 1.88 (1.53, 2.32) <.001 1.12 (0.90, 1.39) 0.300
 Yes 82.9 (82.3, 83.6) 15.0 (14.4, 15.6) 2.0 (1.8, 2.3) (ref) (ref) (ref)
Parental status
 Do not have children 62.6 (61.4, 63.8) 34.5 (33.4, 35.7) 2.9 (2.5, 3.2) 1.28 (1.16, 1.40) <.001 1.01 (0.77, 1.32) 0.963 0.79 (0.60, 1.04) 0.094
 Have children 81.9 (81.2, 82.5) 15.8 (15.2, 16.4) 2.3 (2.1, 2.6) (ref) (ref) (ref)
Employment status
 Working full-time job 75.4 (74.6, 76.2) 22.2 (21.5, 23.0) 2.4 (2.1, 2.6) 0.99 (0.93, 1.07) 0.876 0.84 (0.69, 1.03) 0.086 0.85 (0.69, 1.04) 0.107
 Not doing so 70.3 (69.2, 71.4) 26.8 (25.7, 27.8) 2.9 (2.6, 3.3) (ref) (ref) (ref)
Income assistance
 Yes 64.1 (62.0, 66.1) 31.8 (29.8, 33.8) 4.2 (3.2, 5.1) 1.32 (1.18, 1.46) <.001 1.77 (1.35, 2.32) <.001 1.35 (1.02, 1.78) 0.035
 No 74.5 (73.8, 75.2) 23.2 (22.5, 23.9) 2.3 (2.1, 2.5) (ref) (ref) (ref)
State marijuana policyc
 Recreational+medical 66.4 (65.1, 67.6) 29.5 (28.4, 30.7) 4.1 (3.6, 4.6) 1.42 (1.25, 1.62) <.001 6.58 (4.17, 10.38) <.001 4.63 (2.90, 7.38) <.001
 Medical use only 75.2 (74.3, 76.2) 21.7 (20.7, 22.6) 3.1 (2.7, 3.4) 1.04 (0.94, 1.15) 0.428 6.57 (4.40, 9.80) <.001 6.31 (4.19, 9.48) <.001
 No legal use 78.9 (77.8, 80.0) 20.6 (19.5, 21.7) 0.5 (0.3, 0.7) (ref) (ref) (ref)
Age
 19–30 58.6 (57.0, 60.1) 38.9 (37.4, 40.4) 2.5 (2.1, 3.0) 2.96 (2.67, 3.28) <.001 1.30 (0.93, 1.80) 0.121 0.44 (0.31, 0.61) <.001
 35–45 77.6 (76.7, 78.5) 19.3 (18.5, 20.1) 3.1 (2.8, 3.5) 1.66 (1.54, 1.79) <.001 1.85 (1.56, 2.20) <.001 1.11 (0.93, 1.33) 0.241
 50–65 85.1 (84.5, 85.7) 12.8 (12.2, 13.4) 2.1 (1.9, 2.3) (ref) (ref) (ref)
Year
 2018 79.2 (77.9, 80.5) 18.7 (17.4, 19.9) 2.2 (1.7, 2.7) 0.85 (0.77, 0.95) 0.005 0.84 (0.64, 1.09) 0.190 0.98 (0.73, 1.30) 0.877
 2019 78.4 (77.2, 79.7) 19.6 (18.3, 20.8) 2.0 (1.6, 2.4) 0.91 (0.81, 1.03) 0.125 0.72 (0.53, 0.98) 0.039 0.79 (0.57, 1.09) 0.155
 2020 76.7 (75.3, 78.0) 20.6 (19.3, 21.9) 2.7 (2.1, 3.3) (ref) (ref) (ref)
 2021 70.8 (69.4, 72.2) 26.7 (25.4, 28.1) 2.5 (2.1, 2.9) 0.98 (0.88, 1.10) 0.728 0.83 (0.60, 1.15) 0.266 0.85 (0.61, 1.19) 0.340
 2022 70.0 (68.5, 71.5) 27.2 (25.8, 28.7) 2.8 (2.3, 3.2) 0.99 (0.88, 1.10) 0.797 0.97 (0.72, 1.32) 0.848 0.99 (0.72, 1.35) 0.925
 2023 70.8 (69.5, 72.2) 26.1 (24.8, 27.4) 3.0 (2.6, 3.5) 1.05 (0.94, 1.18) 0.366 1.14 (0.86, 1.53) 0.360 1.09 (0.80, 1.47) 0.589

Notes: Unweighted n = 40,926 (missing covariate data addressed using full information maximum likelihood). AOR = adjusted odds ratio. CI = confidence interval. NH = Non-Hispanic. Model 1 used “no use” as the outcome referent category in the multinomial regression model; Model 2 used “recreational-only use” as the outcome referent category. Although not shown here, both multinomial regression models also included U.S. Census division. Boldface indicates statistical significance (p≤0.028).

a

Medical use indicates any medical cannabis use with or without recreational use.

b

NH Other/multiracial = another NH race/ethnicity or multiracial.

c

State policy categories: recreational+medical = policy allowing legal adult recreational and medical use; medical use only = policy allowing legal medical use only; no legal use = policy allows no legal recreational or medical use.

Table 3 presents associations between cannabis use type, covariates, and past 30-day cannabis use at the respondent level among those reporting past 12-month use (covariate associations not discussed). The odds of any past 30-day use were higher among respondents reporting medical use versus recreational-only use. Use frequency was more than twice as high for the medical use group (21.2 occasions) versus recreational-only use group (10.2 occasions). As frequent or daily or near-daily cannabis use often is defined as use on 20+ occasions in the past 30 days,3 respondents reporting medical use on average engaged in daily or near-daily use. Models including age group × medical use interaction terms (not tabled) showed no significant interactions. Observed higher prevalence and frequency among those reporting medical use did not vary by age.

Table 3.

Associations with past 30-day cannabis use among U.S. adults reporting past 12-month cannabis use

Variable Past 30-day prevalence Past 30-day frequency
% (95% CI) AOR (95% CI) p Mean (95% CI) aIRR (95% CI) p
Past 12-month cannabis use type
 Medical usea 89.2 (86.8, 91.5) 4.74 (3.67, 6.13) <.001 21.2 (20.0, 22.5) 2.11 (1.96, 2.27) <.001
 Recreational-only use 63.8 (62.4, 65.2) (ref) 10.2 (9.8, 10.7) (ref)
Sex
 Male 68.0 (66.1, 69.9) 1.23 (1.09, 1.39) 0.001 12.3 (11.7, 13.0) 1.28 (1.18, 1.38) <.001
 Other 74.3 (65.8, 82.8) 1.45 (0.93, 2.26) 0.104 13.8 (10.9, 16.7) 1.27 (1.01, 1.60) 0.040
 Female 64.0 (62.3, 65.8) (ref) 10.0 (9.4, 10.6) (ref)
Race
 Hispanic 64.1 (60.2, 68.0) 0.87 (0.72, 1.06) 0.177 10.0 (8.8, 11.2) 0.83 (0.72, 0.95) 0.007
 NH Asian 62.4 (54.5, 70.4) 0.83 (0.58, 1.19) 0.308 6.6 (4.8, 8.4) 0.58 (0.44, 0.76) <.001
 NH Black 71.8 (67.2, 76.3) 1.32 (1.04, 1.68) 0.023 13.0 (11.3, 14.8) 1.13 (0.98, 1.31) 0.101
 NH Other/multiracialb 69.6 (62.8, 76.5) 1.16 (0.83, 1.62) 0.380 12.5 (10.3, 14.8) 1.03 (0.86, 1.24) 0.761
 NH White 65.7 (64.3, 67.1) (ref) 11.3 (10.8, 11.8) (ref)
Married
 No 67.8 (66.1, 69.5) 1.18 (1.04, 1.35) 0.014 11.8 (11.3, 12.4) 1.14 (1.04, 1.25) 0.007
 Yes 63.2 (61.4, 65.0) (ref) 10.1 (9.5, 10.7) (ref)
Parental status
 Do not have children 67.0 (65.2, 68.8) 0.99 (0.86, 1.15) 0.930 11.4 (10.8, 12.0) 0.95 (0.87, 1.05) 0.340
 Have children 65.1 (63.4, 66.8) (ref) 11.1 (10.5, 11.7) (ref)
Employment status
 Working full time job 65.0 (63.4, 66.7) 0.91 (0.81, 1.03) 0.124 10.7 (10.2, 11.2) 0.90 (0.83, 0.97) 0.004
 Not doing so 68.3 (66.4, 70.3) (ref) 12.1 (11.4, 12.8) (ref)
Income assistance
 Yes 72.4 (69.2, 75.5) 1.28 (1.08, 1.52) 0.006 14.3 (13.1, 15.5) 1.27 (1.16, 1.40) <.001
 No 65.1 (63.7, 66.6) (ref) 10.6 (10.2, 11.1) (ref)
State marijuana policyc
 Recreational+medical 67.9 (65.9, 69.9) 0.89 (0.72, 1.11) 0.315 11.7 (11.0, 12.4) 0.97 (0.84, 1.13) 0.713
 Medical use only 66.7 (64.7, 68.7) 0.95 (0.80, 1.12) 0.550 11.6 (10.9, 12.3) 0.97 (0.86, 1.09) 0.620
 No legal use 63.3 (60.6, 66.0) (ref) 10.2 (9.3, 11.1) (ref)
Age
 19–30 67.3 (65.3, 69.3) 1.01 (0.86, 1.20) 0.879 11.7 (11.0, 12.4) 1.13 (1.01, 1.26) 0.037
 35–45 63.6 (61.6, 65.7) 0.86 (0.76, 0.98) 0.028 10.6 (9.9, 11.2) 0.97 (0.89, 1.06) 0.462
 50–65 67.1 (65.1, 69.1) (ref) 11.0 (10.4, 11.7) (ref)
Year
 2018 65.4 (62.0, 68.8) 1.17 (0.95, 1.43) 0.146 11.4 (10.3, 12.5) 1.06 (0.94, 1.20) 0.332
 2019 65.8 (62.5, 69.0) 1.20 (0.98, 1.47) 0.075 10.4 (9.5, 11.4) 0.98 (0.86, 1.11) 0.714
 2020 62.1 (58.9, 65.3) (ref) 10.9 (9.9, 11.9) (ref)
 2021 68.5 (65.8, 71.1) 1.30 (1.07, 1.57) 0.008 12.0 (11.0, 12.9) 1.03 (0.91, 1.17) 0.617
 2022 66.5 (63.6, 69.3) 1.22 (1.00, 1.48) 0.045 11.2 (10.3, 12.1) 1.02 (0.90, 1.14) 0.794
 2023 67.2 (64.6, 69.8) 1.26 (1.04, 1.52) 0.017 11.3 (10.5, 12.1) 1.03 (0.91, 1.17) 0.604

Notes: Unweighted n = 10,219 (missing covariate data addressed using full information maximum likelihood). aIRR = adjusted incidence rate ratio. AOR = adjusted odds ratio. CI = confidence interval. NH = Non-Hispanic. Although not shown here, both regression models also included U.S. Census division. Boldface indicates statistical significance (p≤0.028).

a

Medical use indicates any medical cannabis use with or without recreational use.

b

NH Other/multiracial = another NH race/ethnicity or multiracial.

c

State policy categories: recreational+medical = policy allowing legal adult recreational and medical use; medical use only = policy allowing legal medical use only; no legal use = policy allows no legal recreational or medical use.

Discussion

In this national U.S. young and middle adult sample, past 12-month medical cannabis use was reported by almost 1 in 10 of those reporting past 12-month use compared with approximately 3% of all respondents. Developmental trends in recreational-only prevalence decreased after young adulthood; there was no developmental trend change in medical prevalence among respondents overall. In states with medical use only policy, historical trends in medical prevalence increased from 2018–2023. Sociodemographic characteristics and state policy were associated with cannabis use type; medical use was associated with higher past 30-day prevalence and frequency. Results highlight the need for increased awareness of connections between medical use and high-frequency use across adulthood, and call for research examining whether consequences differ between daily or near-daily medical versus recreational use.

In the full population, the prevalence of recreational-only use decreased across age, while the prevalence of medical use was stable. As a result of this shift in cannabis use away from recreational-only and toward medical use, the proportion of all people using cannabis who reported recreational-only use decreased across age, and the proportion reporting medical use increased across age. This observation does not imply causality; additional factors likely underly decreasing recreational-only use and stable medical use across age. The current findings of stable developmental trends in medical use prevalence among all respondents contrast with earlier national studies finding medical use was higher at ages 18–49 (vs. 50+) during 2013–20158, and at ages 26–45 (vs. 16–25 or 46+) in 2018.15 Given rapid historical increases in U.S. medical cannabis program enrollment,13,14 age distributions of medical cannabis use may be shifting with historical time. That is, although developmental trends in overall medical prevalence were stable, the individual likelihood of reporting medical use versus non-use or recreational-only use did vary by age.

State policy of medical only use or recreational+medical use was associated with increased odds of medical use among this adult population. These findings are in line with prior research showing medical only policies are associated with increased use among adults but not adolescents.33 With increasing state legalization of adult recreational cannabis use, more adults are able to obtain cannabis legally without a physician’s medical recommendation and choose whether or not to use for medical reasons. This raises the question of whether identifying use with medical recommendations remains relevant for public health purposes, or if research should focus on medical use motivations instead. If research is focused on prevalence estimates for medical cannabis use, relying solely on use with medical recommendation misses the fact that cannabis purchases and use without a medical recommendation may be medically motivated (e.g., pain, anxiety). Recreational policy is estimated to decrease medical cannabis sales14,34 and is associated with some degree of individual transition out of exclusively medical use.11 However, recreational policy also is associated with movement from non-use to medical use9,35 likely through destigmatization and shifts in perceived risks. The current study found medical use increased from 2018–2023 in states with medical only policy; no significant trends were observed in recreational+medical use states. Benefits of medical cannabis program participation—even in states with legal recreational use—include obtaining physician guidance regarding administration routes, dosage, and possible interactions with other medications21,36 (an issue that grows in importance with age). Other benefits vary with state policy but may include access to higher THC potency products, increases on limits for growing or possession quantity, and state sales or excise tax exclusions.37,38,39,40 Research focusing on clinical outcomes among those using cannabis for medical purposes with and without medical recommendations is needed.

The current study found male sex was associated with higher odds of medical use. Male sex historically has been associated with higher cannabis prevalence and frequency,41,42 but sex differences are narrowing.3 Men are more likely to report specialist and primary care physician support for medical cannabis use than women.43 Reasons for medical cannabis use vary by sex: women are more likely to report use for anxiety, depression, and pain while men are more likely to report use for psychosis, alcohol or other drug use, seizures, and tumors.44 Further research on sex differences in medical cannabis use is warranted.

Findings regarding higher past 30-day cannabis prevalence and frequency associated with medical use were striking; mean frequency in the medical use group was equivalent to daily or near-daily use. High-frequency use has been associated with increased use disorder6 and other acute risks45 which may be higher in later adulthood due to metabolism changes, lower cognitive reserves, and increased likelihood of drug interactions and comorbidities.46 Medical cannabis dosing recommendations for some conditions (e.g., chronic pain) involve daily administration,47 raising questions regarding how to evaluate high-frequency use risk among those using medical cannabis. Additional research is needed examining how high-frequency use risks may differ between medical and non-medically motivated use in regards to when, how, and with what potency cannabis is used. Regardless of these differences, however, using cannabis from a medical recommendation was associated with increased high-frequency use across age, possibly increasing risk for associated negative outcomes.

Limitations

This study was based on nationally-representative U.S. 12th-grade student samples; individuals not attending school in 12th grade were not included. School dropout is associated with higher cannabis use;48,49 the sample may underrepresent adults with adolescent cannabis use experience. Only general state-level cannabis policy coding and a single-item measure of medical cannabis use were used. Future research could explore the effects of (a) policy implementation and enforcement, (b) more detailed medical cannabis use measures including specific sources, use methods, frequency, and quantity consumed, and (c) confounders such as psychiatric and medical disorders.

Conclusions

Past 12-month medical cannabis use was reported by 2.6% of U.S. young and middle adults; about one in ten who used cannabis did so with a medical recommendation. The proportion of those using cannabis reporting medical use became larger with age, and was more prevalent where state policy allowed medical or recreational use. Medical cannabis use was a risk factor for high-frequency use.

Supplementary Material

Appendix- Supplemental Materials

Acknowledgements

Funding

Data collection, analysis, and manuscript preparation were supported by research grants from the National Institute on Drug Abuse (R01DA001411 and R01DA016575). The study sponsors had no role in the study design, collection, analysis, or interpretation of the data, writing of the manuscript, or the decision to submit the paper for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the study sponsors.

Footnotes

CRediT Author Statement

Yvonne M. Terry-McElrath: Conceptualization, methodology, formal analysis, writing—original draft. Megan E. Patrick: Conceptualization, methodology, writing—review and editing, project administration, funding acquisition.

All authors have reviewed and approved the final article.

The article contents have not been previously submitted to any journal. A oral presentation based on the findings was made at the Society for Prevention Research’s 2025 annual meeting. No other presentation of the article contents has been or will be made.

1

During young adulthood (ages 19–30), six randomly assigned survey forms are used for data collection.

2

Other or prefer not to answer were not presented as response options until 2021.

3

From 1976–2021, all MTF cannabis-related measures used the word “marijuana.” Starting in 2022, both “cannabis” and “marijuana” were used in all surveys.

Declaration of Interest

No conflicts of interest or financial disclosures were reported by the authors of this paper.

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