Cigarette and e-cigarette use trajectories and prospective prescription psychotherapeutic drug misuse among adolescents and young adults.

OBJECTIVE: This study aimed to determine the potential longitudinal impact of different cigarette and e-cigarette use trajectories among people aged 10-24 on prescription drug misuse of psychotherapeutic drugs. METHODS: Data came from waves 1-5 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2019; n = 14,454). Group-based trajectory modeling identified groups of adolescents and young adults based on cigarette and e-cigarette use across the five waves. Weighted logistic regression models were fit to examine the association of group membership with two outcomes at all waves: 1) misuse of opioids, sedatives, and/or tranquilizers, and 2) misuse of Ritalin and/or Adderall, adjusting for background characteristics. RESULTS: Five trajectory groups emerged: (1) non-use (77.7 %); (2) early-onset cigarette use with reducing use (4.6 %); (3) ever-increasing e-cigarette use (6.1 %); (4) stable dual use of cigarettes and e-cigarettes (3.2 %); and (5) accelerating dual use of cigarettes and e-cigarettes (8.4 %). In comparison to the non-use group, all other groups had significantly higher odds of misuse of opioids, tranquilizers, and/or sedatives and all but the early-onset cigarette use with reducing use group had significantly higher odds of misuse of Ritalin and/or Adderall by the end of wave 5. DISCUSSION: Patterns of cigarette and e-cigarette use in adolescent and young adult populations may serve as important indicators for concurrent and prospective prescription psychotherapeutic drug misuse. Findings highlight the need for cigarette and e-cigarette use prevention, harm reduction, and/or cessation efforts among adolescents and young adults.

Associations of alcohol use disorder, cannabis use disorder, and nicotine dependence with concurrent opioid use disorder in U.S. adults.

Polysubstance use of alcohol, cannabis, and nicotine has been shown to be correlated with opioid use disorder (OUD). The goal of this study was to determine whether alcohol use disorder (AUD), cannabis use disorder (CUD), and/or nicotine dependence were associated with concurrent OUD. Data came from the 2015-2019 National Survey on Drug Use and Health (n = 282,768, 48.5% male). Weighted logistic regression was performed for experiencing OUD in the past year concurrent with AUD, CUD, nicotine dependence, all pairwise interactions, the three-way interaction, and demographic covariates. Compared to individuals with no substance use disorder (SUD), individuals with AUD had 5.24 times the odds (95% CI [4.25, 6.46]), individuals with CUD had 6.69 times the odds (95% CI [5.13, 8.72]), and individuals with nicotine dependence had 7.12 times the odds of experiencing OUD (95% CI [6.10, 8.32]). Individuals with either AUD and CUD or AUD and nicotine dependence had approximately 15 times the odds of having OUD than those with no SUD (95% CI [12.58, 19.53] and 95% CI [11.63, 18.19], respectively). Individuals with CUD and nicotine dependence had 27.35 times the odds of having OUD than those with no SUD (95% CI [21.88, 34.19]). Individuals with AUD, CUD, and nicotine dependence had 47.31 times the odds of having OUD compared to individuals with no SUD (95% CI [36.79, 60.83]). A multiplicative effect was present when two or more SUD occurred simultaneously and was greatest when all three occurred at once, which suggests that prevention programs or interventions aimed at OUD should focus on persons with multiple SUDs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).