Evidence map›Paper›PMID 31145217›Full record

ArticlePain2019

High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans.

Geetanjoli Banerjee, E Jennifer Edelman, Declan T Barry, Stephen Crystal, Kirsha S Gordon, Adam J Gordon, Julie R Gaither, Traci C Green, Robert D Kerns, Ajay Manhapra and 3 more

Open access · greenAbstract read
In one paragraph

Article in Pain, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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

13 authors at 6 institutions in 1 country.

Geetanjoli BanerjeeDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, United States.
E Jennifer EdelmanDepartment of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.
Declan T BarryDepartment Psychiatry, Yale School of Medicine, Yale University, New Haven, CT, United States.
Stephen CrystalCenter for Health Services Research, Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, NJ, United States.
Kirsha S GordonDepartment of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.
Adam J GordonDepartment of Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Julie R GaitherCenter for Interdisciplinary Research on AIDS, Yale School of Public Health, Yale University, New Haven, CT, United States.
Traci C GreenDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, United States.
Robert D KernsDepartment Psychiatry, Yale School of Medicine, Yale University, New Haven, CT, United States.
Ajay ManhapraDepartment Psychiatry, Yale School of Medicine, Yale University, New Haven, CT, United States.
Brent A MooreDepartment Psychiatry, Yale School of Medicine, Yale University, New Haven, CT, United States.
David A FiellinDepartment of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, United States.
Yale University · USBrown University · USBoston Medical Center · USRutgers, The State University of New Jersey · USUniversity of Utah · USVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Project 4: Neonatal Abstinence Syndrome (NAS): Fetus to First YearsP20GM125507 · NIGMS · RHODE ISLAND HOSPITAL · PI CURT G BECKWITH · 2018 to 2026
$23.4M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
Non-Medical Use of Prescription Opioids Among HIV-Infected Individuals: Trajectories and Impact on Health OutcomesR01DA040471 · NIDA · YALE UNIVERSITY · PI EDELMAN, E. JENNIFER · 2016 to 2018
$716k
The Impact of Prescription Opioid Receipt on Heroin Initiation Among VeteransR36DA042877 · NIDA · BROWN UNIVERSITY · PI BANERJEE, GEETANJOLI · 2017 to 2017
$23k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U24 AA020794NIDA NIH HHS R01 DA040471NIDA NIH HHS R36 DA042877NIGMS NIH HHS P20 GM125507
6 · The paper itself

Abstract

Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.

Indexed as

AdultAnalgesics, OpioidCohort StudiesDose-Response Relationship, DrugDrug PrescriptionsFemaleFollow-Up StudiesHeroin DependenceHumansLongitudinal StudiesMaleMiddle AgedMilitary PersonnelProspective StudiesRisk FactorsUnited StatesAnalgesics, Opioid

Identifiers

PMID31145217
PMCPMC6699915
OpenAlexW2947097503

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.