How cannabis use patterns emerge in adolescent addiction clusters

Latent Class Analysis of Substance Use and Behavioral Addictions in Adolescents.

Substance use & misuse • • Moderately Relevant
🤖

AI Summary

This research examined how substance use and behavioral addictions cluster together in adolescents aged 14-18. Using statistical analysis on data from 1,189 teenagers, researchers identified three distinct groups: a large low-risk group with minimal addictive behaviors, a technology-focused group with problematic gaming and smartphone use, and a smaller high-risk group combining cannabis, alcohol, tobacco use with behavioral addictions. The study reveals that not all adolescents follow the same pattern—some teens may develop addiction issues around technology while others progress toward polysubstance use.

The findings show that adolescents in the high-risk polysubstance group and the technology-oriented group reported similarly elevated mental health symptoms including anxiety, depression, and other psychological distress, despite different addiction profiles. This is particularly significant for cannabis research, as it demonstrates that cannabis use in adolescents rarely occurs in isolation—it typically co-occurs with other substance use (alcohol, tobacco) and behavioral addictions. Both groups showed substantially worse mental health outcomes compared to the low-risk group, suggesting that the combination of addictive behaviors, rather than any single substance, may be driving psychological difficulties.

These results have important implications for how we approach adolescent addiction treatment. Rather than targeting individual substances like cannabis separately, the research supports integrated interventions that address the whole pattern of addictive behaviors and underlying mental health issues. For cannabis-using adolescents specifically, this means screening for concurrent alcohol, tobacco, and behavioral addiction problems, as well as assessing psychological symptoms. Understanding these natural groupings helps clinicians tailor prevention and treatment programs to the specific risk profiles of different adolescent populations.

📄 Original Abstract

Given the high co-occurrence of substance use and behavioral addictions among adolescents, person-centered approaches are essential to identify distinct subgroups. This study aimed to identify latent classes based on substance use and behavioral addictions, and to examine differences in psychopathological symptoms across these classes. A total of 1,189 participants, aged between 14 and 18 years (Mage = 15.64 years, SD = 1.08, 52.5% female) completed a battery of questionnaires. A latent class analysis (LCA) was performed based on several addictive behaviors, including past-month substance use (binge drinking, tobacco, cannabis) and problematic behavioral addictions (gambling, gaming, and smartphone use). The LCA suggested a three-class solution: Class 1 (n = 793, "low-risk/normative users"), Class 2 (n = 280, "Technology-oriented users"), and Class 3 (n = 113 "High-risk polysubstance and behavioral users"). Participants assigned to Class 1 reported lower levels of psychopathological symptoms, whereas the symptoms reported by Classes 2 and 3 differed only minimally. These findings highlight the need for integrated, person-centered interventions that address both substance-related and behavioral addictions, with a focus on the specific psychopathological profiles of each subgroup.

Explore More Research

Stay informed about the latest cannabis science.

Your stash, decoded.