Evidence map›Paper›PMID 31775106›Full record

ArticleDrug and alcohol dependence2020

Between- and within-person associations between opioid overdose risk and depression, suicidal ideation, pain severity, and pain interference.

Charles M Cleland, Alex S Bennett, Luther Elliott, Andrew Rosenblum, Peter C Britton, Brett Wolfson-Stofko

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 19 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

6 authors at 4 institutions in 1 country.

Charles M ClelandCenter for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA; Department of Population Health, New York University School of Medicine, 180 Madison Avenue, New York, NY, 10016, USA. Electronic address: Charles.Cleland@nyulangone.org.
Alex S BennettCollege of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA.
Luther ElliottCollege of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA.
Andrew RosenblumNational Development and Research Institutes, New York, NY, 10010, USA.
Peter C BrittonVA Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, 400 Fort Hill Avenue Canandaigua, NY, 14424, USA; Department of Psychiatry, University of Rochester, Rochester, NY, USA.
Brett Wolfson-StofkoCenter for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11thFloor, New York, NY, 10012, USA.
New York University · USYork University · USCanandaigua VA Medical Center · USNational Development and Research Institutes · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Opioid Misuse and Overdose Risk Patterns among Recent VeteransR01DA036754 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI BENNETT, ALEXANDER S · 2014 to 2017
$1.9M
NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA036754
6 · The paper itself

Abstract

backgroundTo better understand overdose (OD) risk and develop tailored overdose risk interventions, we surveyed 234 opioid-using veterans residing in New York City, 2014-2017. Our aim was to better understand how predictors of OD may be associated with physical and mental health challenges, including pain severity and interference, depression and suicidal ideation over time.

methodsVeterans completed monthly assessments of the Overdose Risk Behavior Scale (ORBS), pain severity and interference, suicidal ideation, and depression for up to two years and were assessed an average of 14 times over 611 days. To estimate between-person and within-person associations between time-varying covariates and opioid risk behavior, mixed-effects regression was used on the 145-person subsample of veterans completing the baseline and at least three follow-up assessments.

resultsThe level of each time-varying covariate at the average of study time (between-person effect) was positively related to ORBS for pain severity and interference, suicidal ideation, and depression. Deviations from individuals' personal trajectories (within-person effect) were positively related to ORBS for pain severity and interference, suicidal ideation, and depression.

conclusionsUS military veterans endure physical and mental health challenges elevating risk for opioid-related overdose. When pain severity, pain interference, suicidal ideation and depression were higher than usual, opioid risk behavior was higher. Conversely, when these health issues were less of a problem than usual, opioid risk behavior was lower. Assessing the physical and mental health of opioid-using veterans over time may support the development and implementation of interventions to reduce behaviors that increase the likelihood of overdose.

Indexed as

Suicidal IdeationAdultAnalgesics, OpioidDepressionDrug OverdoseFemaleHumansInterpersonal RelationsMaleMental HealthMiddle AgedNew York CityPainSelf ReportSeverity of Illness IndexVeteransAnalgesics, OpioidDepressionOpioid risk behaviorPain interferencePain severitySuicidal ideationVeterans

Identifiers

PMID31775106
PMCPMC6980716
OpenAlexW2985507141

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.