Evidence map›Paper›PMID 39799369›Full record

ArticleSubstance abuse treatment, prevention, and policy2025

Cannabis use characteristics and associations with problematic use outcomes, quitting-related factors, and mental health among US young adults.

Carla J Berg, Cassidy R LoParco, Katelyn F Romm, Yuxian Cui, Darcey M McCready, Yan Wang, Y Tony Yang, Hannah S Szlyk, Erin Kasson, Rishika Chakraborty and 1 more

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. 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 · 2026
    Article
  7. Article
  8. Article
  9. Article
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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

11 authors.

Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA. carlaberg@gwu.edu.
Cassidy R LoParcoDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Katelyn F RommTSET Health Promotion Research Center, Stephenson Cancer Center; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Yuxian CuiDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Darcey M McCreadyDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Y Tony YangGeorge Washington Cancer Center, George Washington University, Washington, DC, USA.
Hannah S SzlykDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Erin KassonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Rishika ChakrabortyCenter for Health Policy and Media Engagement, School of Nursing, George Washington University, Washington, DC, USA.
Patricia A Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Recreational Marijuana Marketing and Young Adult Consumer Behavior - Administrative SupplementR01DA054751 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Patricia A Cavazos-Rehg · 2022 to 2026
$4.3M
NIDA NIH HHS R01 DA054751NIDA NIH HHS R01DA054751
6 · The paper itself

Abstract

objectiveGiven the changes in trends of cannabis use (e.g., product types), this study examined latent classes of young adult use and associations with use-related outcomes.

methodsWe analyzed 2023 survey data among 4,031 US young adults (M

resultsLCA identified 4 classes of cannabis use frequency and types used: 'infrequent-herb/edibles' (41.4%), 'frequent-herb' (16.8%), 'moderate-herb' (28.0%), and 'moderate-oil/other' (13.8%). In multivariable analyses (referent group: 'moderate-herb' class), 'frequent-herb' reported less problematic use (B=-0.18, 95%CI=-0.30, -0.07), while 'moderate-oil/other' reported greater (B = 0.39, 95%CI = 0.27, 0.51). 'Infrequent-herb/edibles' had lower odds of driving post-use of cannabis (aOR = 0.28, 95%CI = 0.22, 0.37) and cannabis/alcohol (aOR = 0.52, 95%CI = 0.35, 0.76), whereas 'frequent-herb' (aOR = 1.52, 95%CI = 1.02, 2.28) and 'moderate-oil/other' (aOR = 3.98, 95%CI = 2.72, 5.82) reported greater odds of driving post-cannabis/alcohol use. 'Moderate-oil/other' reported higher quitting importance (B = 0.59, 95%CI = 0.17, 1.01), while 'frequent-herb' reported lower (B=-0.33, 95%CI=-0.99, -0.18). 'Infrequent-herb/edibles' reported higher quitting confidence (B = 0.56, 95%CI = 0.20, 0.92), whereas 'frequent-herb' (B=-1.01, 95%CI=-1.45, -0.57) and 'moderate-oil/other' (B=-1.27, 95%CI=-1.74, -0.81) reported lower. 'Infrequent-herb/edibles' reported fewer mental health symptoms (B=-0.55, 95%CI=-0.93, -0.17), while 'moderate-oil/other' reported more (B = 1.03, 95%CI = 0.53, 1.52).

conclusionsPreventing frequent and moderate use of cannabis, particularly of oils/concentrates, is crucial given the potential negative implications for problematic use, quitting, and mental health.

Indexed as

Marijuana UseMental HealthAdolescentAdultFemaleHumansMaleUnited StatesYoung AdultCannabisEpidemiologyMarijuanaProblematic useRisk factors

Identifiers

PMID39799369
PMCPMC11725203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.