Evidence map›Paper›PMID 39657438›Full record

ArticleDrug and alcohol dependence2025

Divergence in cannabis and alcohol use disorder prevalence trends from 2002 to 2019.

Samuel F Acuff, Justin C Strickland

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Characterizing users of a mobile application for supporting a 30-day break from cannabis.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
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

2 authors.

Samuel F AcuffRecovery Research Institute, Massachusetts General Hospital and Harvard Medical School, 151 Merrimac Street, Boston, MA 02114, USA.
Justin C StricklandDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 5510 Nathan Shock Drive, Baltimore, MD 21224, USA. Electronic address: jstric14@jhmi.edu.

Funding

Effect of Cannabinoids on Tobacco Product Demand and PharmacodynamicsR01DA058624 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Dustin Clark Lee, Justin Charles Strickland · 2024 to 2026
$2.0M
NIDA NIH HHS R01 DA058624
6 · The paper itself

Abstract

introductionDespite increases in the availability, potency, and consumption of cannabis, epidemiological data suggest decreases in the prevalence of cannabis use disorder (CUD) in some groups. Understanding mechanisms for these changes may help improve diagnostic tools for identifying disordered use. This analysis evaluates changes in CUD compared to a substance with comparably stable social and environmental context (alcohol use disorder [AUD]) as well as treatment engagement and need from 2002 to 2019.

methodsData were from the National Survey on Drug Use and Health. Outcomes included CUD and AUD symptoms, treatment engagement, and perceived need. Temporal trends and average annual rate of change [AARC] were computed.

resultsBetween 2002 and 2019, daily cannabis use prevalence increased by 94 % (AARC=11.68 %), whereas CUD prevalence among those using cannabis daily reduced by 47.9 % (AARC=-10.30 %). Daily alcohol use prevalence decreased by 10.86 % (AARC=-1.90 %), and AUD prevalence among those using alcohol daily reduced by 3.9 % (AARC=-0.67 %). Prevalence of individual 12-month CUD criteria among those using cannabis daily decreased (-13.4 to -59.6 % change; AARC = -2.4 % to -14 %). Among those using cannabis daily, trends in prevalence of individual AUD criteria varied, with some criteria increasing in prevalence and others decreasing (-30.2-24.6 % change; AARC = -5.82-3.7 %). Treatment engagement and perceived need decreased for cannabis, whereas treatment engagement increased and perceived need decreased for alcohol.

conclusionThese results suggest that CUD and AUD criteria may be determined within the cultural context dictating the definition of harm which has changed for cannabis, but not alcohol, from 2002 to 2019.

Indexed as

AlcoholismMarijuana AbuseAdolescentAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceUnited StatesYoung AdultAlcoholCannabisEpidemiologySubstance use disorder

Identifiers

PMID39657438
PMCPMC11685030

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.