ArticleBehavior genetics2017
Cannabis and Depression: A Twin Model Approach to Co-morbidity.
Article in Behavior genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: A Systematic Review and Recommendations of Cannabis use in Bipolar Disorder and Major Depressive Disorder.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023Pooled it
- Alcohol substitution during one month of cannabis abstinence among non-treatment seeking youth.Progress in neuro-psychopharmacology & biological psychiatry · 2021Trial
- The Causal Effect of Social Isolation on Cannabis Use Disorder and the Mediating Role of Depression: Evidence From a Mendelian Randomization Study.Brain and behavior · 2025Article
- Cannabis and psychopathology: 2024 Snapshot of a meandering journey.Indian journal of psychiatry · 2025Review
- A Bivariate Twin Study of Lifetime cannabis Initiation and Lifetime Regular Tobacco Smoking Across Three Different Countries.Behavior genetics · 2024Article
- Marijuana use among community-dwelling older adults: A population-based study.International journal of geriatric psychiatry · 2024Article
- Clinical Epigenomic Explanation of the Epidemiology of Cannabinoid Genotoxicity Manifesting as Transgenerational Teratogenesis, Cancerogenesis and Aging Acceleration.International journal of environmental research and public health · 2023Review
- Development of cannabis use disorder in medical cannabis users: A 9-month follow-up of a randomized clinical trial testing effects of medical cannabis card ownership.Frontiers in psychiatry · 2023Article
- Perturbation of 3D nuclear architecture, epigenomic dysregulation and aging, and cannabinoid synaptopathy reconfigures conceptualization of cannabinoid pathophysiology: part 1-aging and epigenomics.Frontiers in psychiatry · 2023Review
- Perturbation of 3D nuclear architecture, epigenomic aging and dysregulation, and cannabinoid synaptopathy reconfigures conceptualization of cannabinoid pathophysiology: part 2-Metabolome, immunome, synaptome.Frontiers in psychiatry · 2023Review
- Substance use and common contributors to morbidity: A genetics perspective.EBioMedicine · 2022Review
- Associations between cannabis use, cannabis use disorder, and mood disorders: longitudinal, genetic, and neurocognitive evidence.Psychopharmacology · 2022Review
- Down and High: Reflections Regarding Depression and Cannabis.Frontiers in psychiatry · 2021Review
- Cannabis Use, Cannabis Use Disorder, and Comorbid Psychiatric Illness: A Narrative Review.Journal of clinical medicine · 2020Review
- Cannabis and Mood Disorders.Current addiction reports · 2018Article
- US Epidemiology of Cannabis Use and Associated Problems.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Cannabis use disorder (CUD) co-occurs with major depressive disorder (MDD) more frequently than would be expected by chance. However, studies to date have not produced a clear understanding of the mechanisms underlying this co-morbidity. Genetically informative studies can add valuable insight to this problem, as they allow the evaluation of competing models of co-morbidity. This study uses data from the Australian Twin Registry to compare 13 co-morbidity twin models initially proposed by Neale and Kendler (Am J Hum Genet 57:935-953, 1995). The analysis sample comprised 2410 male and female monozygotic and dizygotic twins (average age 32) who were assessed on CUD and MDD using the SSAGA-OZ interview. Data were analyzed in OpenMx. Of the 13 different co-morbidity models, two fit equally well: CUD causes MDD and Random Multiformity of CUD. Both fit substantially better than the Correlated Liabilities model. Although the current study cannot differentiate between them statistically, these models, in combination, suggest that CUD risk factors may causally influence the risk to develop MDD, but only when risk for CUD is high.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.