Opioid misuse has emerged in recent years as a major public health concern in the United States, particularly for adolescents and emerging young adults. We examined the association of opioid misuse from ages 18 to 20 with four domains at age 21-22: risk behaviors and consequences; health; social functioning; and emerging adult roles. Participants were surveyed annually from 2008 through 2019. The sample includes N = 2880 youth from waves 8-11. The sample was approximately 18 years old at wave 8; 54% female, 46% Hispanic, 20% white, 20% Asian, 2% Black, and 11% multiracial. Opioid misuse was low in this general sample of young adults, with about 4% reporting misuse from age 18-20. We used latent growth curve modeling to examine how misuse from ages 18-20 was associated with functioning at age 21-22. Adolescents who reported opioid misuse at age 18 also reported more negative consequences from alcohol and cannabis use and greater odds of other prescription drug misuse at age 21-22 than those with no misuse. Those reporting opioid misuse at age 18 were also more likely to engage in sexual risk behaviors, report delinquent behavior, and have a higher likelihood of experiencing sexual victimization and engaging in sexual perpetration at age 21-22 than those with no misuse. Neither the intercept nor slope of opioid misuse was associated with depression, anxiety, physical health or ailments, satisfaction with friends, romantic relationship functioning, or emerging adult roles at wave 11. Findings highlight the importance of screening and brief intervention for adolescents reporting opioid misuse.

Introduction

Concurrent co-use of tobacco/nicotine and cannabis (T/C) products is common among young people and may increase risks for negative health and psychosocial outcomes, but little is known about developmental patterns of T/C co-use. This study aimed to identify distinct trajectory classes of concurrent T/C co-use from ages 16 to 21 and compare groups on T/C co-use behaviors in young adulthood.

Methods

Participants (n = 2497) reported T/C use on annual online surveys from 2015 to 2019 (ages 16-22). We used parallel process growth mixture models to model simultaneous trajectories of past-month cigarette, e-cigarette, smokeless tobacco, and cannabis use and identify latent classes of T/C trajectories. Classes were then compared on types and number of T/C products used and types of T/C co-use in young adulthood.

Results

Models revealed 4 T/C classes: Low/No T/C Use, Early Concurrent T/C Co-use, Late Concurrent T/C Co-use, and Tobacco Quitters/Cannabis Maintainers. Compared to other classes, the Early Concurrent T/C Co-use group-individuals with rapid progression to concurrent T/C co-use during adolescence-were more likely to report poly-tobacco use, poly-cannabis use, same-occasion sequential T/C co-use and T/C co-administration (ie, mixing T/C) of both combustible and vaping products in young adulthood.

Conclusion

Early progression to concurrent T/C co-use in adolescence is prospectively linked to poly-product use and co-use of T/C products in young adulthood. Prevention efforts targeting co-use of T/C products in adolescence may help to reduce riskier patterns of T/C use and co-use in young adulthood.

This article reviews current research findings and presents a conceptual framework for better understanding the relationship between bullying victimization (hereafter referred to as victimization) and substance misuse (hereafter referred to as SM) among adolescents. Although victimization and SM may appear to be separate problems, research suggests an intriguing relationship between the 2. We present a brief, empirical overview of the direct association between victimization and adolescent SM, followed by a proposed conceptual framework that includes co-occurring risk factors for victimization and SM within family, peer, and school and community contexts. Next, we discuss potential mediators linking victimization and SM, such as internalizing problems, traumatic stress, low academic performance, and school truancy and absence. We then identify potential moderating influences of age, gender and sex, social supports, and school connectedness that could amplify or abate the association between victimization and SM. Finally, we discuss practice and policy implications.

Background

The ways in which young people learn about cannabis product availability and where they obtain cannabis products are important to understand for prevention and intervention efforts.

Methods

Young adults who reported past month cannabis use (N = 758) completed an online survey in 2018-2019 on how they obtained cannabis and the products they used in a newly legalized market in Los Angeles (mean age 21.6; 44% Hispanic, 27% white, 15% Asian).

Results

Overall, 59.1% obtained cannabis from recreational cannabis retailers (RCRs), 51.5% from family or friends, 39.1% from medical cannabis dispensaries (MCDs), and 5.5% from strangers or dealers in the past month. Compared to those getting cannabis from family or friends, those getting cannabis from MCDs or RCRs spent more money, used more cannabis products, were more likely to use alone, used greater quantities of bud/flower, and reported more consequences from use. Further, those obtaining cannabis from MCDs were more likely to screen positive for cannabis use disorder (CUD). For type of products, those obtaining cannabis from MCDs or RCRs were more likely to use joints, bongs, pipes, dabs, vape, and consume edibles relative to those obtaining from family or friends. Subgroup differences were found for both source patterns and cannabis-related outcomes. Males and those with a cannabis medical card reported spending more money on cannabis, using more types of products, and indicated more frequent use and greater CUD symptoms and consequences. Compared to Whites, Blacks spent more money on cannabis and used more products, and Hispanics reported using more products and greater quantities of cannabis bud/flower.

Conclusions

Findings highlight the different ways that young adults obtain cannabis, and how young adults with a medical cannabis card may be at greater risk for problems compared to young adults who use cannabis recreationally.

The changing legal landscape of cannabis in the USA has coincided with changes in how cannabis is used, including its co-use with other substances. This study analyzed 10 years of data from a diverse cohort of youth (N = 2429; 54% Hispanic, 16% Asian, 16% white, 3% black, 10% multiracial) to examine predictors in early and late adolescence of co-use of alcohol with cannabis (AC) and tobacco with cannabis (TC) at age 21. Two forms of co-use were examined: concurrent (use of both substances in past month) and sequential (use of one substance right after the other). Analyses focused on four predictor domains: individual (e.g., resistance self-efficacy), peer (e.g., time spent around peers who use), family (e.g., sibling use), and neighborhood (i.e., perceived alcohol and drug problems in neighborhood). For each co-use combination (AC or TC), we estimated parallel process piecewise latent growth models in a structural equation modeling framework using Mplus v8. The final AC and TC co-use models included all predictor variables from the four domains. Increases in positive expectancies and time spent around peers who use AC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of AC co-use in young adulthood. Increases in sibling TC use and time spent around peers who use TC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of TC co-use in young adulthood. Overall, findings highlight the importance of addressing peer influence in prevention programming during both early and late adolescence.