Evidence map›Paper›PMID 24261668›Full record

ArticleAddiction (Abingdon, England)2014

Towards a comprehensive developmental model of cannabis use disorders.

Carlos Blanco, Claudia Rafful, Melanie M Wall, Ty A Ridenour, Shuai Wang, Kenneth S Kendler

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sex- and Gender-Based Analysis in Cannabis Treatment Outcomes: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Substance Use Disorders: Population Prevention.Focus (American Psychiatric Publishing) · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 3-Year Follow-up of Lower Risk Cannabis Use Patterns: Evidence from a Longitudinal Survey.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2022
    Article
  13. Article
  14. Which came first: Cannabis use or deficits in impulse control?Progress in neuro-psychopharmacology & biological psychiatry · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Cannabis and the Current State of Treatment for Cannabis Use Disorder.Focus (American Psychiatric Publishing) · 2019
    Article
  20. The Changing Landscape of Substance Use Disorders.Focus (American Psychiatric Publishing) · 2019
    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

6 authors.

Carlos BlancoDepartment of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA.
Claudia Rafful
Melanie M Wall
Ty A Ridenour
Shuai Wang
Kenneth S Kendler

Funding

TRANSLATION MODULEP50DA005605 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RIDENOUR, TY A · 1989 to 2014
$25.7M
Towards a Comprehensive Developmental Model of Substance Use DisordersR01DA019606 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI OLFSON, MARK · 2006 to 2016
$2.6M
Substance Use Comorbidity Care: Evidence-Based Stepped Strategies for DepressionR01DA023973 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI BLANCO, CARLOS · 2009 to 2010
$1.1M
Bridging Efficacy and Effectiveness in Drug Abuse TreatmentK02DA023200 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BLANCO, CARLOS · 2008 to 2012
$618k
NIDA NIH HHS DA019606NIDA NIH HHS DA023200NIDA NIH HHS DA023973NIDA NIH HHS K02 DA023200NIDA NIH HHS P50 DA005605NIDA NIH HHS R01 DA019606NIDA NIH HHS R01 DA023973
6 · The paper itself

Abstract

aimsTo develop a comprehensive risk-factor model of cannabis use disorders (CUD) based on Kendler's development model for major depression.

designRisk factors were divided into five developmental tiers based on Kendler's model of depression (childhood, early adolescence, late adolescence, adulthood, past year). Hierarchical logistic regression models were used to examine the independent contribution of each risk factor. Separate models were built to predict the lifetime risk of cannabis use and the risk of CUD among those with a history of lifetime risk of cannabis use.

settingData were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) in the United States.

participantsParticipants consisted of wave 2 of the NESARC (n = 34 653). MEASUREMENTS: Odds ratios (OR), Adjusted OR (AOR) and confidence intervals (95% CI) were used to determine the risk factors in each tier and with multiple models.

findingsAfter mutually adjusting for the effect of other risk factors, lifetime history of drug use disorder (AOR = 4.78, 95% CI = 1.53-14.91), past year alcohol use disorders (AOR = 6.55, 95% CI = 2.54-16.89) and independent (AOR = 1.57, 95% CI = 1.15-2.14) and dependent (AOR = 1.25, 95% CI = 1.01-1.55) stressful life events predicted lifetime cannabis use. Impulsivity (AOR = 2.18, 95% CI = 1.34-3.53), past year alcohol use disorders (AOR = 4.09, 95% CI = 2.29-7.31), greater number of Axis I disorders (AOR = 1.56, 95% CI = 1.01-2.40) and social deviance (AOR = 1.19, 95% CI = 1.08-1.32) independently increased the risk of the development of CUD, whereas religious service attendance (AOR = 0.50, 95% CI = 0.30-0.85) decreased this risk. In both models, the effect of earlier development tiers was mediated by more proximal ones. There were few gender differences in both models.

conclusionsA modification of Kendler's risk factor model for major depression which stratifies risk factors into five groups (childhood, early adolescence, late adolescence, adulthood, past year) provides a useful foundation for a comprehensive developmental model of cannabis use and cannabis use disorders.

Indexed as

Life Change EventsAdolescentAdultAgedAlcohol-Related DisordersHuman DevelopmentHumansMarijuana AbuseMiddle AgedModels, PsychologicalReligionRisk AssessmentRisk FactorsUnited StatesYoung AdultCannabis use disordersdevelopmentepidemiologyrisk factors

Identifiers

PMID24261668
PMCPMC3956073

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.