Evidence map›Paper›PMID 30176548›Full record

Observational studyDrug and alcohol dependence2018

Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care.

Declan T Barry, Brandon D L Marshall, William C Becker, Adam J Gordon, Stephen Crystal, Robert D Kerns, Julie R Gaither, Kirsha S Gordon, Amy C Justice, David A Fiellin and 1 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. State-Level Prevalence and Associates of Opioid Dependence in the USA.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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

11 authors at 6 institutions in 1 country.

Declan T BarryYale School of Medicine, New Haven, CT, 06510, USA; APT Foundation Pain Treatment Services, New Haven, CT, 06519, USA. Electronic address: declan.barry@yale.edu.
Brandon D L MarshallBrown School of Public Health, Providence, RI, 02903, USA.
William C BeckerYale School of Medicine, New Haven, CT, 06510, USA; VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Adam J GordonUniversity of Utah School of Medicine, Salt Lake City, UT, 84148, USA.
Stephen CrystalInstitute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, NJ, 08901, USA.
Robert D KernsYale School of Medicine, New Haven, CT, 06510, USA; VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Julie R GaitherYale School of Medicine, New Haven, CT, 06510, USA.
Kirsha S GordonYale School of Medicine, New Haven, CT, 06510, USA; VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Amy C JusticeYale School of Medicine, New Haven, CT, 06510, USA; VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
David A FiellinYale School of Medicine, New Haven, CT, 06510, USA; Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, 06510, USA.
E Jennifer EdelmanYale School of Medicine, New Haven, CT, 06510, USA; Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, 06510, USA.
Yale University · USVA Connecticut Healthcare System · USAPT Foundation · USBrown University · USRutgers, The State University of New Jersey · USUniversity of Utah · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI LIU, TAO · 2010 to 2024
$19.7M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol Associated Outcomes Among HIV+/-Aging VeteransU01AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2002 to 2005
$10.1M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Integrated Stepped Care for Unhealthy Alcohol Use in HIVU01AA020795 · NIAAA · YALE UNIVERSITY · PI FIELLIN, DAVID · 2011 to 2020
$5.2M
Center for Education and Research on Mental Health TherapeuticsU19HS021112 · AHRQ · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2011 to 2015
$3.9M
SMINET: Applying Evidence to Improve Care and Outcomes in Severe Mental IllnessR18HS023258 · AHRQ · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2014 to 2017
$3.7M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
Highly Adaptive Epidemic Control Strategies for HIV Prevention in Drug UsersDP2DA040236 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2015 to 2015
$2.4M
AHRQ HHS R18 HS023258AHRQ HHS U19 HS021112NIAAA NIH HHS P01 AA019072NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA020795NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIAID NIH HHS P30 AI042853NIDA NIH HHS DP2 DA040236NIDA NIH HHS F31 DA035567NIDA NIH HHS K12 DA033312NIDA NIH HHS R01 DA040471
6 · The paper itself

Abstract

BACKGROUND/

aimsAlthough nonmedical use of prescription opioids (NMUPO) is a public health problem, few studies have examined the new-onset NMUPO in clinical populations. We estimated NMUPO incidence among veterans in medical care who had received prescription opioid medication and examined correlates of new-onset NMUPO.

designProspective cohort study.

settingVeterans Health Administration primary care and infectious disease clinics in Atlanta, Baltimore, Bronx, Houston, Los Angeles, Manhattan, Pittsburgh, and Washington, DC.

participantsPatients enrolled in the Veterans Aging Cohort Study wave 3 (2005-2007) who received prescription opioids in the previous year and without lifetime NMUPO were followed at waves 4 and 5 (2008-2011). MEASUREMENTS: Cox proportional hazards regression was used to examine the relationship between duration of prescription opioid receipt and incident NMUPO, adjusting for demographics, alcohol and tobacco use, substance use disorders, psychiatric and medical diagnoses, and medication-related characteristics.

findingsAmong eligible participants (n = 815), the median age was 52 (IQR = 47-58) and 498 (59.8%) were Black; 122 (15.0%) reported new-onset NMUPO, for an incidence rate of 5.0 per 100 person-years. In a multivariable Cox model, compared to <30 days, receipt of prescription opioids for 30-180 days (adjusted hazard ratio [AHR] = 1.65 95% CI: 1.06, 2.58) or >180 days (AHR = 1.99, 95% CI: 1.21, 3.29) was associated with incident NMUPO.

conclusionsDuration of prescription opioid receipt is a risk factor for incident NMUPO among veterans receiving medical care. Providers who prescribe opioids should monitor for NMUPO, especially among those with a longer duration of opioid therapy.

Indexed as

AdultAnalgesics, OpioidCohort StudiesFemaleForecastingHumansIncidenceLongitudinal StudiesMaleMiddle AgedOpioid-Related DisordersPrescription DrugsProspective StudiesRisk FactorsSubstance-Related DisordersTime FactorsAnalgesics, OpioidPrescription DrugsAnalgesicsHIVOpioidsPainVeterans

Identifiers

PMID30176548
PMCPMC6596307
OpenAlexW2888758472

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.