Evidence map›Paper›PMID 41367503›Full record

ArticleAddictive behaviors reports2025

Associations between cannabis use frequency and suicidal thoughts and behaviors: A clinical longitudinal sibling study.

Elisa F Stern, Jarrod M Ellingson, Jonathan D Schaefer, Jesse D Hinckley, Michael C Stallings, Robin P Corley, Christian Hopfer, Tamara L Wall, Soo Hyun Rhee

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Elisa F SternDepartment of Psychology and Neuroscience, University of Colorado, UCB Boulder, CO 80309, USA.
Jarrod M EllingsonDepartment of Psychiatry, University of Colorado School of Medicine, 1890 N Revere Ct, Aurora, CO 80045, USA.
Jonathan D SchaeferDepartment of Psychology, Vanderbilt University, PMB 407817 2301 Vanderbilt Place, Nashville, TN 37240, USA.
Jesse D HinckleyDepartment of Psychiatry, University of Colorado School of Medicine, 1890 N Revere Ct, Aurora, CO 80045, USA.
Michael C StallingsDepartment of Psychology and Neuroscience, University of Colorado, UCB Boulder, CO 80309, USA.
Robin P CorleyDepartment of Psychology and Neuroscience, University of Colorado, UCB Boulder, CO 80309, USA.
Christian HopferDepartment of Psychiatry, University of Colorado School of Medicine, 1890 N Revere Ct, Aurora, CO 80045, USA.
Tamara L WallDepartment of Psychiatry, University of California, 3120 Biomedical Sciences Wy, La Jolla, CA 92093, USA.
Soo Hyun RheeDepartment of Psychology and Neuroscience, University of Colorado, UCB Boulder, CO 80309, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cannabis use is associated with increased risk for suicidality. However, the directionality of this association and the role of shared familial influences-such as genetics and environment-remains uncertain. Further, despite higher rates of cannabis use and suicidality endorsement in clinical samples, research in these populations is limited. This study examines cross-sectional and prospective associations between cannabis use and suicidality in a sample characterized by earlier cannabis initiation and heavier use than typically reported, while accounting for shared familial influences. Method: Adolescent sibling groups were recruited from Denver and San Diego (N = 1,261); at least one sibling was recruited from a substance use treatment program, alternative school, or juvenile probation. Participants completed clinical interviews assessing substance use and suicidality at three waves (2001--2019). Cannabis use frequency was examined as a predictor of suicidality using multilevel models accounting for shared familial influences and within-family clustering. Covariates included alcohol, tobacco, other substance use, age, and sex. Reverse associations and exploratory models assessing tobacco as a predictor were also examined. Results: Cannabis use was not associated with suicidality (all Conclusions: Findings in this high-risk clinical sample are inconsistent with literature linking cannabis use to suicidality in community samples. Results underscore the need for further research on the association between general and polysubstance use risk and suicidality.

Identifiers

PMID41367503
PMCPMC12684948

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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.