Evidence map›Paper›PMID 29635217›Full record

ArticleDrug and alcohol dependence2018

Prevalence, patterns, and correlates of multiple substance use disorders among adult primary care patients.

William S John, He Zhu, Paolo Mannelli, Robert P Schwartz, Geetha A Subramaniam, Li-Tzy Wu

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 127 citations in OpenAlex.

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  19. Cannabis use disorder: from neurobiology to treatment.The Journal of clinical investigation · 2024
    Review
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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 at 4 institutions in 1 country.

William S JohnDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, 40 Duke Medicine Circle, Durham, NC, 27710, USA. Electronic address: william.john@duke.edu.
He ZhuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, 40 Duke Medicine Circle, Durham, NC, 27710, USA.
Paolo MannelliDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, 40 Duke Medicine Circle, Durham, NC, 27710, USA.
Robert P SchwartzFriends Research Institute, Inc., 1040 Park Ave #103, Baltimore, MD, 21201, USA.
Geetha A SubramaniamNational Institute on Drug Abuse, 6001 Executive Blvd #5128, Rockville, MD, 20852, USA.
Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, 40 Duke Medicine Circle, Durham, NC, 27710, USA; Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, 40 Duke Medicine Circle, Durham, NC, 27710, USA; Duke Clinical Research Institute, Duke University Medical Center, 2400 Pratt Street, Durham, NC, 27705, USA; Center for Child and Family Policy, Sanford School of Public Policy, Duke University, 302 Towerview Road, Durham, NC, 27708, USA.
Duke Medical Center · USDuke University · USFriends Research Institute · USNational Institute on Drug Abuse · US

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
Clinical Trials Network: Mid-Atlantic Integrated Care Research CollaborativeUG1DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 2015 to 2019
$11.0M
Project-003UG1DA040317 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2015 to 2019
$9.0M
NIDA NIH HHS U10 DA013727NIDA NIH HHS UG1 DA013034NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA040317
6 · The paper itself

Abstract

backgroundAddressing multiple substance use disorders (SUDs) in primary care-based screening and intervention may improve SUD treatment access, engagement, and outcomes. To inform such efforts, research is needed on the prevalence and patterns of multiple SUDs among primary care patients.

methodsData were analyzed from a sample of 2000 adult (aged ≥ 18) primary care patients recruited for a multisite National Drug Abuse Treatment Clinical Trials Network (CTN) study (CTN-0059). Past-year DSM-5 SUDs (tobacco, alcohol, and drug) were assessed by the modified Composite International Diagnostic Interview. Prevalence and correlates of multiple versus single SUDs were examined. Latent class analysis (LCA) was used to explore patterns of multiple SUDs.

resultsMultiple SUDs were found among the majority of participants with SUD for alcohol, cannabis, prescription opioids, cocaine, and heroin. Participants who were male, ages 26-34, less educated, and unemployed had increased odds of multiple SUDs compared to one SUD. Having multiple SUDs was associated with greater severity of tobacco or alcohol use disorder. LCA of the sample identified three classes: class 1 (83.7%) exhibited low prevalence of all SUDs; class 2 (12.0%) had high-moderate prevalence of SUDs for tobacco, alcohol, and cannabis; class 3 (4.3%) showed high prevalence of SUD for tobacco, opioids, and cocaine. LCA-defined classes were distinguished by sex, age, race, education, and employment status.

conclusionsFindings suggest that primary care physicians should be aware of multiple SUDs when planning treatment, especially among adults who are male, younger, less educated, or unemployed. Interventions that target multiple SUDs warrant future investigation.

Indexed as

AdolescentAdultAlcoholismComorbidityFemaleHumansMaleMiddle AgedPrevalencePrimary Health CareSubstance-Related DisordersYoung AdultCannabis use disorderComorbidityLatent class analysisOpioid use disorderPolysubstancePrimary careSubstance use disorder

Identifiers

PMID29635217
PMCPMC5959766
OpenAlexW2794524455

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.