ArticleDrug and alcohol dependence2017
Distinguishing subpopulations of marijuana users with latent profile analysis.
Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 69 citations in OpenAlex.
- A social media intervention for cannabis use among emerging adults: Randomized controlled trial.Drug and alcohol dependence · 2022Trial
- Latent profile analysis of personality characteristics among US young adults in relation to cannabis use and intentions over time.Addictive behaviors · 2026Article
- Mobile intervention for emerging adults with regular cannabis use: a micro-randomized trial.Lancet regional health. Americas · 2026Article
- A self-determination theory perspective of motivations for cannabis-related harm reduction behaviours: evaluation of an expanded and adapted Treatment Self-Regulation Questionnaire.Psychology & health · 2026Article
- Daily Cannabis Use: Do Impulsivity and Sensation Seeking Predict Negative Cannabis Related Consequences?Journal of drug issues · 2025Article
- Cannabis use characteristics and associations with problematic use outcomes, quitting-related factors, and mental health among US young adults.Substance abuse treatment, prevention, and policy · 2025Article
- Cannabis use patterns and different phenotypes in relation to other drugs use: latent class analyses from the Sao Paulo Megacity Mental Health Survey.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- Missouri College Students' Intentions Towards Initiating or Changing Cannabis Use in a Shifting Legal Landscape.Cannabis (Albuquerque, N.M.) · 2025Article
- Frequency is not enough: Characterizing heterogenous patterns of cannabis use intensity among reservation-area American Indian youth.The International journal on drug policy · 2024Article
- Latent classes of alcohol and cannabis use among adults with binge-spectrum eating disorders: Associations with eating disorder symptom severity and personality features.European eating disorders review : the journal of the Eating Disorders Association · 2024Article
- Characterizing clinical heterogeneity in an inpatient service treating mental, substance use and concurrent disorders.PLOS mental health · 2024Article
- Direct and Indirect Effects of Cannabis Risk Perceptions on Cannabis Use Frequency.Addiction research & theory · 2024Article
- Association of self-reported use of cannabis for the purpose of improving physical, mental, and sleep health with problematic cannabis use risk.BMC public health · 2023Article
- Differentiating people who use cannabis heavily through latent class analysis.Substance abuse treatment, prevention, and policy · 2023Article
- Who's at greatest risk? Latent profiles of alcohol and cannabis use and related consequences among college students.Addictive behaviors · 2023Article
- An exploration of multivariate symptom clusters of cannabis use disorder in young adults.Addictive behaviors · 2022Article
- Typology of Adolescents Exposed to Non-medical Cannabis Marketing and Associations with Consumption Patterns.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- Mental Health Risk Profiles and Related Substance Use During Coronavirus Pandemic Among College Students Who Use Substances.International journal of mental health and addiction · 2022Article
- The Relation Between Impulsivity and Estimation of Marijuana Weight.Cannabis (Albuquerque, N.M.) · 2022Article
- Cannabis use, attitudes, regulation and health: Survey data from an urban population of users and non-users.Journal of public health research · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAlthough marijuana is the most commonly used illicit drug in the United States, little is known about the effects of typical marijuana use patterns and whether there are distinct subgroups of marijuana users.
methodsThe present study used latent profile analysis to determine the number of distinct subgroups of marijuana users in a large sample of college students (n=2129 past month marijuana users across 11 universities). We also examined how these distinct groups differ on several putative risk/protective factors (e.g., personality traits, perceptions of marijuana, and motives for using marijuana).
resultsUsing the Lo-Mendell-Rubin Likelihood Ratio Test, we identified four latent classes with the largest class consisting of infrequent marijuana users, and three other classes demonstrating increasingly frequent use and more negative consequences with the most severe class being the smallest class. We found the largest between-class differences (i.e., distinctions across classes) to be on identification with being a marijuana user and use of protective behavioral strategies (PBS), such that the heavier user classes showed higher identification with marijuana users and lower use of PBS.
conclusionsOur findings demonstrate that college student marijuana users are a heterogeneous group with different profiles of risk/protective factors and that those who use marijuana a few times per month are different from those who are near-daily or daily users. Our findings also serve as a call to action for the field to consider examining identification with being a marijuana user and the use of PBS in future marijuana studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.