Evidence map›Paper›PMID 41797000›Full record

ArticleDrug and alcohol review2026

Prevalence, Associations and Comorbidity of Cannabis Use and Cannabis Use Disorders in the Australian National Mental Health Surveys From 2007 to 2020-22.

Jack Wilson, Matthew Sunderland, Siobhan O'Dean, Tim Slade, Danielle Dawson, Olivia Dobson, Janni Leung, Gary Chan, Maree Teesson, Wayne Hall and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Jack WilsonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.ORCID 0000-0002-2732-1731
Matthew SunderlandThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8452-364X
Siobhan O'DeanThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.
Tim SladeThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.
Danielle DawsonNational Centre for Youth Substance Use Research, School of Psychology, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-9871-2820
Olivia DobsonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.
Janni LeungNational Centre for Youth Substance Use Research, School of Psychology, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5816-2959
Gary ChanNational Centre for Youth Substance Use Research, School of Psychology, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-7569-1948
Maree TeessonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.
Wayne HallNational Centre for Youth Substance Use Research, School of Psychology, The University of Queensland, Brisbane, Australia.
Nicola NewtonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.ORCID 0000-0001-6305-2623
Valentina LorenzettiNeuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia.
Emily StockingsThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia.ORCID 0000-0001-5349-951X

Funding

AI and Val Rosenstrauss Research Fellowship, Rebecca Cooper FoundationNational Health and Medical Research Council (NHMRC) investigator grant awarded to ES (GNT2017346)NHMRC fellowshipsNHMRC Investigator Grant
6 · The paper itself

Abstract

introductionAs cannabis policies become more liberal, and products increasingly potent, it is important to monitor changes in rates of cannabis use and those at risk of harm. We used data from the largest national mental health survey in Australia to examine changes in prevalence, associations and comorbidity of past 12-month cannabis use and cannabis use disorder (CUD) from 2007 to 2020-22.

methodsData were drawn from the two most recent Australian National Surveys of Mental Health and Wellbeing (age range: 16-85): 2007 (n = 8841) and 2020-22 (n = 15,893). The prevalence of use and CUD were estimated and logistic regression was used to examine associations between individual characteristics and cannabis use outcomes, as well as changes in strength of association over time.

resultsPrevalence of recent cannabis use was stable from 2007 (6.7%, 95% CI 6.0%, 7.3%) to 2020-22 (6.7%, 95% CI 6.2%, 7.1%), as was CUD (1.0%, 95% CI 0.7%, 1.3%; 0.6%, 95% CI 0.4%, 0.8%). Respondents were significantly more likely to report CUD if they were younger (16-25 years), male, initiated cannabis use < 18 years, reported recent polysubstance use, exhibited other substance and mental disorders and had visited mental health services (OR 3.26-78.00). Compared to 2007, the association between younger age and CUD was stronger in 2020-22 (OR 2.39, 95% CI 1.20, 4.77), whereas the association between polysubstance use and CUD was weaker (OR 0.42, 95% CI 0.20, 0.91). DISCUSSION AND

conclusionsFindings suggest that population-level use and CUD may have remained stable over time, but young people may now be more vulnerable to developing CUD.

Indexed as

Marijuana AbuseMarijuana UseAdolescentAdultAgedAged, 80 and overAustraliaComorbidityFemaleHealth SurveysHumansMaleMental HealthMiddle AgedPrevalenceYoung Adultcannabiscannabis use disordercomorbidityepidemiology

Identifiers

PMID41797000
PMCPMC12968346

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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.