Evidence map›Paper›PMID 20580168›Full record

ArticleDrug and alcohol dependence2010

Subtypes of nonmedical opioid users: results from the national epidemiologic survey on alcohol and related conditions.

Li-Tzy Wu, George E Woody, Chongming Yang, Dan G Blazer

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  11. Opioids and Acute Kidney Injury.Seminars in nephrology · 2021
    Review
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  20. What Do We Know about Opioids and the Kidney?International journal of molecular sciences · 2017
    Review
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

4 authors at 4 institutions in 1 country.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27710, USA. litzy.wu@duke.edu
George E Woody
Chongming Yang
Dan G Blazer
Clinical Research Institute · USDuke University · USSocial Science Research Council · USTreatment Research Institute · US

Funding

Delaware Valley Node of the Clinical Trials NetworkU10DA013043 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 1999 to 2015
$25.8M
Evolution of Psychopathology in the PopulationR01DA026652 · NIDA · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W · 2009 to 2013
$2.4M
Treatment/Substance Use Disorders/HIV Risk ReductionK05DA017009 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WOODY, GEORGE EDWARD · 2003 to 2012
$1.3M
MDMA and Other Hallucinogen Use: Onset and Abuse/DependenceR01DA019623 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2013
$1.1M
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR33DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2010 to 2012
$1.1M
Epdemiology of Non-Medical Prescription Anagesic UseR01DA019901 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2007 to 2009
$416k
Classification of Substance Use Severity and Treatment Outcomes: NIDA CTN StudiesR21DA027503 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2009 to 2009
$302k
NIDA NIH HHS DA013043NIDA NIH HHS DA017009NIDA NIH HHS DA019623NIDA NIH HHS DA019901NIDA NIH HHS DA026652NIDA NIH HHS DA027503NIDA NIH HHS HHSN271200522071CNIDA NIH HHS K05 DA017009NIDA NIH HHS R01 DA019623NIDA NIH HHS R01 DA019901NIDA NIH HHS R01 DA026652NIDA NIH HHS R21 DA027503NIDA NIH HHS U10 DA013043PHS HHS HSN271200522071C
6 · The paper itself

Abstract

aimsTo identify subtypes of nonmedical opioid users, gender variations in psychiatric disorders, and quality of life in a representative sample of adults.

methodsAnalyses of data from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (N=43,093). Latent class analysis (LCA) and multinomial logistic regression procedures examined subtypes of nonmedical opioid users.

resultsApproximately 5% (n=1815) of adults used nonmedical opioids. LCA identified four subtypes: opioid-marijuana users (33%), opioid-other prescription drug users (9%), opioid-marijuana-hallucinogen users (28%), and opioid-polydrug users (30%). Subtypes were distinguished by race/ethnicity, gender, familial substance abuse, personal history of substance abuse treatment, and patterns of psychiatric disorders. Whites and men had increased odds of being in the opioid-polydrug and opioid-marijuana-hallucinogen subtypes. The opioid-other prescription drug use subtype had disproportionately affected women who were characterized by high rates of mood/anxiety disorders and low quality of life. Across all subtypes, women and men had similarly problematic substance use disorders; however, women had more major depression and disability in the mental health domain.

conclusionsThe generally high prevalence of psychiatric disorders among nonmedical opioid users, particularly women, underscores the need for comprehensive assessment and coordinated delivery of services to match needs with treatment, as well as continued monitoring of trends in opioid use and related problems.

Indexed as

AdultAgedAged, 80 and overAlcoholismAnalgesics, OpioidCohort StudiesDrug UsersFemaleHumansMaleMental DisordersMiddle AgedOpioid-Related DisordersSubstance-Related DisordersYoung AdultAnalgesics, Opioid

Identifiers

PMID20580168
PMCPMC2967592
OpenAlexW2050604065

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.