Evidence map›Paper›PMID 32044680›Full record

ArticleAddictive behaviors2020

Complex cannabis use patterns: Associations with cannabis consequences and cannabis use disorder symptomatology.

Rachel L Gunn, Elizabeth R Aston, Alexander W Sokolovsky, Helene R White, Kristina M Jackson

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
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  6. Intentions matter: How planned and unplanned alcohol and cannabis use influences outcomes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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  14. Comorbid Cannabis Use and Mood Disorders Among Adolescents.Focus (American Psychiatric Publishing) · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Rachel L GunnCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States. Electronic address: rachel_gunn@brown.edu.
Elizabeth R AstonCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States.
Alexander W SokolovskyCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States.
Helene R WhiteCenter of Alcohol Studies, Rutgers, the State University of NJ, Piscataway, NJ 08854, United States.
Kristina M JacksonCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, United States.
Brown University · USRutgers, The State University of New Jersey · US

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
Substance Abuse Intervention/Outcome Research TrainingT32DA016184 · NIDA · BROWN UNIVERSITY · PI Damaris J. Rohsenow, JENNIFER W. TIDEY · 2003 to 2026
$6.1M
Motivational and Contextual Influences on Patterns of Simultaneous Alcohol and Marijuana Use: A Daily Assessment StudyR01DA040880 · NIDA · BROWN UNIVERSITY · PI JACKSON, KRISTINA MELIA, WHITE, HELENE R. · 2016 to 2018
$2.0M
Dual Use of ENDS and Combustible Cigarettes: Shared, Distinct, and Cross-Conditioned ProcessesK08DA048137 · NIDA · BROWN UNIVERSITY · PI SOKOLOVSKY, ALEXANDER WILLIAM · 2020 to 2024
$976k
Ambulatory Assessment of Simultaneous Alcohol and Marijuana Use: Impact on Alcohol Use and ConsequencesK08AA027551 · NIAAA · BROWN UNIVERSITY · PI GUNN, RACHEL LYN · 2019 to 2023
$935k
Behavioral Economic Analysis of Demand for MarijuanaK01DA039311 · NIDA · BROWN UNIVERSITY · PI ASTON, ELIZABETH · 2015 to 2019
$902k
NIAAA NIH HHS K08 AA027551NIAAA NIH HHS T32 AA007459NIDA NIH HHS K01 DA039311NIDA NIH HHS K08 DA048137NIDA NIH HHS R01 DA040880NIDA NIH HHS T32 DA016184
6 · The paper itself

Abstract

backgroundHistorically, cannabis researchers have assumed a single mode and product of cannabis (e.g., smoking plant). However, patterns of use, products (e.g., concentrates, edibles), and modes (e.g. blunts, vaporizers) are diversifying. This study sought to: 1) classify cannabis users into groups based on their use of the full range of cannabis products, and 2) examine user group differences on demographics, cannabis consequences and cannabis use disorder (CUD) symptomatology.

methodsIn a sample of college students (data collected in Fall 2017), who used cannabis in the past year (N = 1390), latent class analysis (LCA) was used to characterize cannabis users. We then added demographic characteristics, cannabis consequences, and CUD symptomatology scores separately to LCA models to examine class differences.

resultsFive unique classes emerged: high-frequency all-product users, high-frequency plant/moderate-frequency edible and concentrate users, low-frequency plant users, moderate-frequency plant and edible users, and low-frequency edible users. Demographic characteristics, cannabis consequences, and CUD symptomatology differed across classes characterized by frequency as well as product.

conclusionsResults reflect the increasing variety of cannabis products, modes, and use patterns among college students. In this sample, frequency of use remains a strong predictor of cannabis-related consequences, in addition to type of product. As variation in cannabis use patterns continue to evolve, it is essential for researchers to conduct comprehensive assessments.

Indexed as

CannabisLatent Class AnalysisAdolescentDrug UsersFemaleHumansMaleMarijuana AbuseMarijuana UseStudentsUnited StatesUniversitiesYoung AdultCannabis useCollege studentsConsequences

Identifiers

PMID32044680
PMCPMC7104573
OpenAlexW3003171833

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.