E-cigarettes show higher addiction risk than cannabis, especially when used alone

E-cigarette and cannabis use and co-use patterns and dependence trajectories among young adults in the United States.

Addiction (Abingdon, England) • • Moderately Relevant
🤖

AI Summary

This study tracked 1,305 young adults in Hawaii over three years to understand how cannabis and e-cigarette use patterns evolve together. Researchers identified four distinct user groups: those who used neither substance regularly (44%), e-cigarette-only users (18%), cannabis-only users (20%), and dual users who used both (co-use group, 18%). The findings reveal that e-cigarette dependence increased significantly over time for both e-cigarette-only and co-use groups, while cannabis dependence remained relatively stable across all groups.

A striking finding was that people using e-cigarettes alone developed higher nicotine dependence than those using both substances together. This suggests that cannabis co-use may not substantially increase cannabis dependence levels. However, the co-use group showed notably higher cannabis dependence symptoms compared to cannabis-only users, despite stable trajectories in both groups. The researchers note that e-cigarette dependence grew and then slightly declined over the study period, indicating evolving patterns of nicotine addiction among young adults.

These results have important implications for public health messaging and treatment strategies. The finding that co-use doesn't accelerate cannabis dependence challenges some assumptions about polysubstance use, while the escalating nicotine dependence in e-cigarette users—whether alone or with cannabis—highlights a concerning trend. Young adults should be aware that e-cigarette use carries significant dependence risk, and healthcare providers may need tailored approaches for individuals using multiple substances simultaneously.

📄 Original Abstract

Co-use of cannabis and e-cigarettes for nicotine is increasing among younger adults in the United States (US). This study aimed to determine (1) the patterns of cannabis and e-cigarette use and co-use over time and (2) the trajectories of e-cigarette and cannabis dependence symptoms across latent classes representing different patterns of use and co-use. Prospective cohort study, with data collected every six months at six time points. Hawaii, USA. N = 1305 individuals [mean age = 25.0 (standard deviation = 2.2); 52% women], who reported past-30-day cannabis and/or e-cigarette use at any of the six data collection time points between March 2021 and February 2024. For the repeated measures latent class analysis (RMLCA): past-30-day cannabis use, e-cigarette use and co-use (any past-30-day use of both cannabis and e-cigarettes for nicotine). RMLCA covariates: demographic variables and cigarette smoking. For the latent growth curve analyses: e-cigarette dependence [Penn State E-Cigarette Dependence Index (PSEDI), range: 0-20] and cannabis dependence symptoms [Cannabis Abuse Screening Test (CAST), range: 0-24]. Four latent classes were identified: individuals who, across time points, consistently showed (1) low probabilities (≤ 0.17) of using e-cigarettes or cannabis, including co-use (44% of the sample); and (2) high probabilities (> 0.50) of primarily e-cigarettes-only use (18%); (3) primarily cannabis-only use (20%); and (4) primarily co-use (18%). For co-use class, the average trajectory for cannabis dependence remained flat [mean linear slope (LS) = 0.01 (standard error [SE] = 0.03), P > 0.05] whereas that for e-cigarette dependence increased over time [LS = 0.15 (0.03), P < 0.0001] before showing a slight decline [mean quadratic slope (QS) = -0.02 (0.007), P < 0.01]. For e-cigarette-only use class, e-cigarette dependence increased over time [LS = 0.91 (0.05), P < 0.0001], before showing a slight decline [QS = -0.02 (0.006), P < 0.0001]. The levels of e-cigarette dependence were higher for e-cigarette-only class than the co-use class across all time points. For cannabis-only class, the average trajectory of cannabis dependence symptoms did not change over time [LS = 0.03 (0.03), P > 0.05]. The levels of cannabis dependence symptoms were higher for the co-use class than the cannabis-only class across all time points. Among young adults who reported past-30-day cannabis and/or e-cigarette use, on average, e-cigarette dependence increased over time for both e-cigarette-only and co-use classes before showing slight declines. Compared with the co-use class, the e-cigarette-only class tended to show higher levels of e-cigarette dependence across all time points. Cannabis use dependence did not change statistically significantly for either co-use or cannabis-only classes.

Explore More Research

Stay informed about the latest cannabis science.

Your stash, decoded.