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Introduction: In the United States, 19 states permit recreational use of cannabis, with 16 more permitting medical use (Marijuana Policy Project, 2021). Concerns remain about whether liberalized policies result in increased adolescent cannabis use. To date, limited evidence exists that the statewide prevalence of adolescent cannabis use increased in states with liberalized policies. However, analyses at local levels show some negative impacts. Thus, we analyzed if living in a ZIP code with a dispensary (ZCWD) was associated with adolescent cannabis use. Methods: Dispensary ZIP codes from public records were matched to self- reported ZIP codes on the Illinois Youth Survey (IYS). We compared past 30-day and past-year cannabis use among youth living in a ZCWD and not living in a ZCWD. Results: About one in eight adolescents (12.8%, n = 1,348) in the weighted sample (n=10,569) resided in a ZCWD. Overall, past 30-day use was lower among youth who lived in ZIP codes with dispensaries (OR = .69, p < .05), with variation by grade. For example, only 10th (OR = .62, p < .05) and 12th graders (OR = .59, p < .05) living in a ZCWD had lower odds of past 30-day cannabis use. Additionally, only 12th graders in a ZCWD had lower odds of past-year use (OR = .70, p < .05). Finally, suburban youth living in a ZCWD also had lower odds of cannabis use (OR = .54, p < .01). Conclusion/Discussion: Cannabis use was significantly lower among 10th and 12th graders living in a ZCWD. Additional research should continue to monitor evolving state policies and whether they are associated with adolescent cannabis use.
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BACKGROUND: Although rates of nonmedical opioid use are highest in late adolescence and emerging adulthood, efforts to understand the extent of the heterogeneity in opioid misuse during this time have been limited. The current study aimed to derive and define typologies of opioid use in high school students at the onset of emerging adulthood. METHODS: Survey responses from a statewide sample of high school students aged 18 and 19 (N = 26,223) were analyzed. Group-based comparisons between participants reporting opioid use and those not reporting opioid use were conducted. Among those reporting opioid use (n = 1,636), we conducted a latent class analysis (LCA) to identify heterogeneous subgroups of opioid users on the basis of non-medical use of prescription opioids (NMUPO) and heroin use. The resulting classes were then compared across various risk and protective factors using multinominal logistic regression. RESULTS: Consistent differences were observed between participants using opioids and participants not using opioids, with moderate to large effect sizes. Results from LCA revealed three subclasses: NMUPO-Any Use, NMUPO To Get High, and Heroin Use. Subclass differences were observed for non-opioid substance use, mental health, and demographics. CONCLUSIONS: Findings from this study underscore the variability of youth who engage in opioid use in late adolescence. Results also indicate that opioid use during adolescence is likely indicative of a broader set of substance use and mental health issues.