Evidence map›Paper›PMID 24183498›Full record

ArticleDrug and alcohol dependence2014

Psychiatric, psychosocial, and physical health correlates of co-occurring cannabis use disorders and nicotine dependence.

Erica N Peters, Robert P Schwartz, Shuai Wang, Kevin E O'Grady, Carlos Blanco

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 5% of its field
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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

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21 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Erica N PetersFriends Research Institute, 1040 Park Avenue, Suite 103, Baltimore, MD 21201, USA; Yale University School of Medicine, SATU, One Long Wharf Drive, Box 18, New Haven, CT 06511, USA. Electronic address: epeters@friendsresearch.org.
Robert P SchwartzFriends Research Institute, 1040 Park Avenue, Suite 103, Baltimore, MD 21201, USA.
Shuai WangDepartment of Psychiatry, New York State Psychiatric Institute/Columbia University, 1051 Riverside Drive, Unit 69, New York, NY 10032, USA.
Kevin E O'GradyDepartment of Psychology, University of Maryland, 300 Campus Drive, College Park, MD 20742, USA.
Carlos BlancoDepartment of Psychiatry, New York State Psychiatric Institute/Columbia University, 1051 Riverside Drive, Unit 69, New York, NY 10032, USA.
Friends Research Institute · USColumbia University · USNew York Psychoanalytic Society and Institute · USUniversity of Maryland, College Park · US

Funding

Re-engineering Methadone Treatment: A Randomized Clinical TrialR01DA015842 · NIDA · FRIENDS RESEARCH INSTITUTE, INC. · PI SCHWARTZ, ROBERT P · 2004 to 2014
$5.7M
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 R01 DA015842NIDA NIH HHS R01DA015842NIDA NIH HHS R01 DA019606NIDA NIH HHS R01 DA023973
6 · The paper itself

Abstract

backgroundSeveral gaps in the literature on individuals with co-occurring cannabis and tobacco use exist, including the extent of psychiatric, psychosocial, and physical health problems. We examine these gaps in an epidemiological study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), of a large, nationally representative sample.

methodsThe sample was drawn from Wave 2 NESARC respondents (N=34,653). Adults with current cannabis use disorders and nicotine dependence (CUD+ND) (n=74), CUD only (n=100), and ND only (n=3424) were compared on psychiatric disorders, psychosocial correlates (e.g., binge drinking; partner violence), and physical health correlates (e.g., medical conditions).

resultsRelative to those with CUD only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, Clusters A and B personality disorders, and narcissistic personality disorder, and reported engaging in a significantly higher number of antisocial behaviors. Relative to those with ND only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, anxiety disorders, and paranoid, schizotypal, narcissistic, and borderline personality disorders; were significantly more likely to report driving under the influence of alcohol and being involved in partner violence; and reported engaging in a significantly higher number of antisocial behaviors. CUD+ND was not associated with physical health correlates.

conclusionsPoor treatment outcomes for adults with co-occurring cannabis use disorders and nicotine dependence may be explained in part by differences in psychiatric and psychosocial problems.

Indexed as

Health StatusHealth SurveysRisk-TakingAdolescentComorbidityFemaleHumansMaleMarijuana AbuseMental DisordersMental HealthPsychologyTobacco Use DisorderYoung AdultCannabisCo-occurring disordersMarijuanaNicotine dependenceSmokingTobacco

Identifiers

PMID24183498
PMCPMC3865597
OpenAlexW1969435655

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.