Evidence map›Paper›PMID 26374990›Full record

ArticleDrug and alcohol dependence2015

Gender and nonmedical prescription opioid use and DSM-5 nonmedical prescription opioid use disorder: Results from the National Epidemiologic Survey on Alcohol and Related Conditions - III.

Bradley T Kerridge, Tulshi D Saha, S Patricia Chou, Haitao Zhang, Jeesun Jung, W June Ruan, Sharon M Smith, Boji Huang, Deborah S Hasin

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
8.3field-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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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  9. Overdose mortality rates for opioids and stimulant drugs are substantially higher in men than in women: state-level analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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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

9 authors at 2 institutions in 1 country.

Bradley T KerridgeDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, United States. Electronic address: BradleyKerridge@gmail.com.
Tulshi D SahaLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
S Patricia ChouLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
Haitao ZhangLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
Jeesun JungLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
W June RuanLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
Sharon M SmithLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
Boji HuangLaboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.
Deborah S HasinDepartment of Psychiatry, College of Physicians and Surgeons, and Mailman School of Public, Health, Columbia University, and New York State Psychiatric Institute, New York, NY 10032, United States.
National Institute on Alcohol Abuse and Alcoholism · USColumbia University · US

Funding

State medical marijuana laws and MTF teen marijuana use and attitudes since 1991R01DA034244 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2012 to 2016
$3.0M
Epidemiologic Studies of Alcohol Use Disorders (ongoing)K05AA014223 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HASIN, DEBORAH S · 2003 to 2012
$1.5M
Conflict, Substance Use and HIV and Related DiseasesF32DA036431 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KERRIDGE, BRADLEY TOWNSEND · 2013 to 2015
$165k
NIAAA NIH HHS K05 AA014223NIAAA NIH HHS K05AA014223NIDA NIH HHS 5F32DA0364431NIDA NIH HHS F32 DA036431NIDA NIH HHS R01 DA034244
6 · The paper itself

Abstract

backgroundLittle is known about sex-specific risk for nonmedical prescription opioid use (NMPOU) and DSM-5 nonmedical prescription opioid use disorder (NMPOUD). The objective of the present study was to present prevalence, correlates, psychiatric comorbidity, treatment and disability of NMPOU and DSM-5 NMPOUD among men and women.

methodsNationally representative sample of the U.S.

resultsPrevalences of 12-month and lifetime NMPOU were greater among men (4.4%, 13.0%) than women (3.9%, 9.8%), while corresponding rates of DSM-5 NMPOUD did not differ between men (0.9%, 2.2%) and women (0.9%, 1.9%). Regardless of time frame and sex, NMPOU and NMPOUD generally decreased with age and were lower among Blacks, Asians/Pacific Islanders and Hispanics, and respondents with lower socioeconomic status. Among men with NMPOU, rates were lower among respondents in the Northeast and South and among those previously married (lifetime). Across time frames and gender, NMPOU and NMPOUD were generally associated with other substance use disorders, posttraumatic stress and borderline, schizotypal and antisocial personality disorders, but associated with major depressive disorder, persistent depression and bipolar I disorder only among men. Disability increased with NMPOU frequency and NMPOUD severity. Only 7.6% and 8.2% of men and women with NMPOU ever received treatment, while 26.8% and 31.1% ever received treatment for NMPOUD.

conclusionsNMPOU and NMPOUD are highly disabling, associated with a broad array of sex-specific and shared correlates and comorbidities and largely go untreated in the U.S. Valid assessment tools are needed that include gender as a stratification variable to identify NMPOU and NMPOUD.

Indexed as

AdolescentAdultAge FactorsComorbidityDisability EvaluationFemaleHumansMaleMarriageMental DisordersMiddle AgedOpioid-Related DisordersPrescription Drug DiversionPrevalenceSex CharacteristicsSocioeconomic FactorsComorbidityDisabilityGender differencesOpioid use disorderTreatment

Identifiers

PMID26374990
PMCPMC4633313
OpenAlexW1909065772

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.