Evidence map›Paper›PMID 38922583›Full record

SynthesisJournal of studies on alcohol and drugs2025

Prevalence of Cannabis Use Disorder: A Meta-Analysis of Population Surveys.

Cassandra L Boness, Rory A Pfund, Samuel Acuff, Martín Montaño-Pilch, Kenneth J Sher

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of studies on alcohol and drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Cassandra L BonessCenter on Alcohol, Substance use, and Addictions (CASAA), University of New Mexico, Albuquerque, New Mexico.
Rory A PfundTennessee Institute for Gambling Education & Research, University of Memphis, Memphis, Tennessee.
Samuel AcuffRecovery Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Martín Montaño-PilchCenter on Alcohol, Substance use, and Addictions (CASAA), University of New Mexico, Albuquerque, New Mexico.
Kenneth J SherDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.

Funding

Measurement and Multimethod Validation of Alcohol Use Disorder Etiologic MechanismsK08AA030301 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Cassandra Lee Boness · 2022 to 2026
$1.1M
Initial Development and Validation of a Translational Approach to AUD Definition and MeasurementF31AA026177 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI BONESS, CASSANDRA LEE · 2017 to 2019
$131k
NIAAA NIH HHS F31 AA026177NIAAA NIH HHS K08 AA030301
6 · The paper itself

Abstract

objectiveEpidemiologic surveys aim to estimate the population prevalence of cannabis use and cannabis use disorder. Prevalence estimates are important for understanding trends, such as the impact of policy change. Existing epidemiologic surveys have produced discrepant and potentially unreliable estimates. The current meta-analysis (PROSPERO CRD42022364818) aims to identify potential sources of unreliability in prevalence estimates of cannabis use and use disorder among the general population (age 12 and older). There was no specific hypothesis about overall prevalence estimate, but we expected significant variability (i.e., heterogeneity) in estimates based on factors such as country, year of data collection, and specific methodological factors (e.g., diagnostic instrument).

methodSystematic searches identified manuscripts and reports documenting nationally representative lifetime or past-year cannabis use disorder prevalence estimates. Meta-analysis was used to synthesize prevalence estimates, evaluate heterogeneity, and test moderators.

resultsThere were 39 manuscripts/reports included in analyses, which resulted in 259 unique prevalence estimates spanning 1980-2013 and an aggregated sample size of 973,281 individuals. Past-year and lifetime prevalence estimates for cannabis use were 12.83% (95% CI [11.15%, 14.71%]) and 38.31% (95% CI [35.92%, 40.76%]), and those for cannabis use disorder were 2.59% (95% CI [2.30%, 2.90%]) and 6.77% (95% CI [4.89%, 9.30%]), respectively. There was significant heterogeneity in estimates, which was partially explained by factors such as country, year of data collection, and methodological characteristics.

conclusionsThe significant heterogeneity in prevalence estimates as a function of methodological characteristics raises concerns about the generalizability of estimates. Recommendations for enhancing the validity and reliability of these estimates are offered.

Indexed as

Marijuana AbuseHealth SurveysHumansPrevalence

Identifiers

PMID38922583
PMCPMC11822759

What OpenQuestion holds

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Registered trials

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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.