Evidence map›Paper›PMID 28753480›Full record

ArticleDrug and alcohol dependence2017

DSM-5 substance use disorders among adult primary care patients: Results from a multisite study.

Li-Tzy Wu, Jennifer McNeely, Geetha A Subramaniam, Kathleen T Brady, Gaurav Sharma, Paul VanVeldhuisen, He Zhu, Robert P Schwartz

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Exclusion of Participants for Substance Use in Clinical Trials.Clinical pharmacology and therapeutics · 2026
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  3. Article
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  12. Integrating Harm Reduction into Medical Care: Lessons from Three Models.Journal of the American Board of Family Medicine : JABFM · 2023
    Article
  13. Article
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  18. Teaching Residents to Treat Substance Use Disorders: Overcoming 10 Common Patient-Perceived Barriers to Outpatient Treatment Engagement.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2021
    Article
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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

8 authors.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA; Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA; Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA; Center for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, NC, USA. Electronic address: litzy.wu@duke.edu.
Jennifer McNeelyDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Geetha A SubramaniamNational Institute on Drug Abuse, Bethesda, MD, USA.
Kathleen T BradySouth Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Gaurav SharmaThe Emmes Corporation, Rockville, MD, USA.
Paul VanVeldhuisenThe Emmes Corporation, Rockville, MD, USA.
He ZhuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Robert P SchwartzFriends Research Institute, Inc., Baltimore, MD, USA.

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
Southern Consortium Node of the Clinical Trials Network (Varenicline)UG1DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KATHLEEN T. BRADY, Kelly S. Barth · 2015 to 2026
$24.8M
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
Substance Abuse & Treatment Gaps in Asians, Pacific Islanders & Multiple-race IndR01MD007658 · NIMHD · DUKE UNIVERSITY · PI WU, LI-TZY · 2013 to 2017
$1.8M
MDMA and Other Hallucinogen Use: Onset and Abuse/DependenceR01DA019623 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2013
$1.1M
NIDA NIH HHS R01 DA019623NIDA NIH HHS U10 DA013727NIDA NIH HHS UG1 DA013034NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA013727NIDA NIH HHS UG1 DA040317NIMHD NIH HHS R01 MD007658
6 · The paper itself

Abstract

backgroundThere are limited data about the extent of DSM-5 substance use disorders (SUDs) among primary care patients.

methodsThis study analyzed data from a multisite validation study of a substance use screening instrument conducted in a diverse sample of 2000 adults aged ≥18 years recruited from five primary care practices in four states. Prevalence and correlates of 12-month DSM-5 SUDs were examined.

resultsOverall, 75.5% of the sample used any substance, including alcohol (62.0%), tobacco (44.1%), or illicit drugs/nonmedical medications (27.9%) in the past 12 months (marijuana 20.8%, cocaine 7.3%, opioids 4.8%, sedatives 4.1%, heroin 3.9%). The prevalence of any 12-month SUD was 36.0% (mild disorder 14.2%, moderate/severe disorder 21.8%): tobacco 25.3% (mild 11.5%, moderate/severe 13.8%); alcohol 13.9% (mild 6.9%, moderate/severe 7.0%); and any illicit/nonmedical drug 14.0% (mild 4.0%, moderate/severe 10.0%). Among past 12-month users, a high proportion of tobacco or drug users met criteria for a disorder: tobacco use disorder 57.4% (26.1% mild, 31.3% moderate/severe) and any drug use disorder 50.2% (14.3% mild, 35.8% moderate/severe); a lower proportion of alcohol users (22.4%) met criteria for alcohol use disorder (11.1% mild, 11.3% moderate/severe). Over 80% of adults with opioid/heroin use disorder met criteria for a moderate/severe disorder. Younger ages, male sex, and low education were associated with increased odds of having SUD.

conclusionThese findings reveal the high prevalence of SUDs in primary care and underscore the need to identify and address them.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdultAlcoholismCannabisHeroinHumansHypnotics and SedativesIllicit DrugsOpioid-Related DisordersPrevalencePrimary Health CareSubstance-Related DisordersTobacco Use DisorderHeroinHypnotics and SedativesIllicit DrugsMarijuana use disorderOpioid use disorderPrimary careSubstance use disorder

Identifiers

PMID28753480
PMCPMC5599360

What OpenQuestion holds

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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.