ArticleAddictive behaviors2016
Polytobacco, marijuana, and alcohol use patterns in college students: A latent class analysis.
Article in Addictive behaviors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
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Who cites it
51 citing papers in PubMed, 70 citations in OpenAlex.
- Cannabis and Tobacco Product Use Classes and Psychosocial Correlates Among US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Article
- Patterns of substance use on a given day in a national sample of U.S. young adults.Addictive behaviors · 2025Article
- Exploring the Patterns of Recreational Polysubstance Use and Executive Functions in Indian Young Adults: A Cross-Sectional Study.Indian journal of psychological medicine · 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
- Determinants of tobacco use transitions in smoker nursing students in Catalonia: A prospective longitudinal study.Tobacco induced diseases · 2024Article
- Initial experimentation with tobacco is associated with subsequent tobacco use patterns among youth in the United States.PloS one · 2024Article
- Longitudinal patterns of cannabis and tobacco co-administration and concurrent use among young adult college students.Addictive behaviors · 2024Article
- Other Momentary Substance Behaviors as Predictors of College Students' Prescription Drug Misuse in Daily Life: An Exploratory Study.Addiction research & theory · 2024Article
- Understanding college students' experiences using e-cigarettes and marijuana through qualitative interviews.Journal of American college health : J of ACH · 2023Article
- A latent class analysis of patterns of tobacco and cannabis use in Australia and their health-related correlates.Drug and alcohol review · 2023Article
- Latent Classes of Tobacco and Cannabis Use among Youth and Young Adults in the United States.Substance use & misuse · 2023Article
- Socioeconomic and Behavioral Determinants of Cardiovascular Risk in Russia: A Structural Equation Modeling Approach.Risk management and healthcare policy · 2023Article
- Polydrug Definition and Assessment: The State of the Art.International journal of environmental research and public health · 2022Review
- The Mood Boost from Tobacco Cigarettes is More Erratic with the Additions of Cannabis and Alcohol.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- The Reshaping of the E-Cigarette Retail Environment: Its Evolution and Public Health Concerns.International journal of environmental research and public health · 2022Article
- Twitter Surveillance at the Intersection of the Triangulum.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Cannabis use among Norwegian university students: Gender differences, legalization support and use intentions, risk perceptions, and use disorder.Addictive behaviors reports · 2021Article
- Patterns of Substance Use and Associations with Mental, Physical, and Social Functioning: A Latent Class Analysis of a National Sample of U.S. Adults Ages 30-80.Substance use & misuse · 2021Article
- Cigarillo and multiple tobacco product use and nicotine dependence in adolescents and young adults.Addictive behaviors · 2020Article
- Differential patterns of e-cigarette and tobacco marketing exposures among youth: Associations with substance use and tobacco prevention strategies.The International journal on drug policy · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Limited research has examined polysubstance use profiles among young adults focusing on the various tobacco products currently available. We examined use patterns of various tobacco products, marijuana, and alcohol using data from the baseline survey of a multiwave longitudinal study of 3418 students aged 18-25 recruited from seven U.S. college campuses. We assessed sociodemographics, individual-level factors (depression; perceptions of harm and addictiveness,), and sociocontextual factors (parental/friend use). We conducted a latent class analysis and multivariable logistic regression to examine correlates of class membership (Abstainers were referent group). Results indicated five classes: Abstainers (26.1% per past 4-month use), Alcohol only users (38.9%), Heavy polytobacco users (7.3%), Light polytobacco users (17.3%), and little cigar and cigarillo (LCC)/hookah/marijuana co-users (10.4%). The most stable was LCC/hookah/marijuana co-users (77.3% classified as such in past 30-day and 4-month timeframes), followed by Heavy polytobacco users (53.2% classified consistently). Relative to Abstainers, Heavy polytobacco users were less likely to be Black and have no friends using alcohol and perceived harm of tobacco and marijuana use lower. Light polytobacco users were older, more likely to have parents using tobacco, and less likely to have friends using tobacco. LCC/hookah/marijuana co-users were older and more likely to have parents using tobacco. Alcohol only users perceived tobacco and marijuana use to be less socially acceptable, were more likely to have parents using alcohol and friends using marijuana, but less likely to have friends using tobacco. These findings may inform substance use prevention and recovery programs by better characterizing polysubstance use patterns.
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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.