Evidence map›Paper›PMID 28594892›Full record

ArticlePloS one2017

A behavioral typology of opioid overdose risk behaviors among recent veterans in New York City.

Alex S Bennett, Andrew Golub, Luther Elliott

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
2.0field-weighted citation impact, top 13% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Naloxone's role in the national opioid crisis-past struggles, current efforts, and future opportunities.Translational research : the journal of laboratory and clinical medicine · 2021
    Review
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Observational
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

3 authors at 2 institutions in 1 country.

Alex S BennettNational Development and Research Institutes Inc., New York, New York, United States of America.
Andrew GolubNational Development and Research Institutes Inc., New York, New York, United States of America.
Luther ElliottNational Development and Research Institutes Inc., New York, New York, United States of America.
New York College of Health Professions · USNational Development and Research Institutes · US

Funding

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 L30 DA042457NIDA NIH HHS R01 DA036754
6 · The paper itself

Abstract

objectiveTo identify meaningful classes of opioid-using military veterans in terms of self-reported opioid overdose risk behaviors.

methodThe study recruited a sample of 218 military veterans in the NYC area who were discharged from active duty service after September 11, 2001 and reported past-month opioid use. Survey data including measures of mental health, social stressors, substance use, and opioid-related overdose risk behaviors were analyzed using Latent Class Analysis (LCA).

resultsA five group solution had excellent fit scores and interpretability. Factor analysis confirmed the existence of two major dimensions of variation: non-adherence and heroin use. The five groups included lower-risk prescription opioid users, non-adherent prescription opioid users and heroin users. The non-adherent prescription opioid users and heroin user classes were both further subdivided into "occasional" and "regular" use categories. In addition to endorsing a greater number of overdose risk behaviors, users in the regular use classes were more likely to screen positive for alcohol and substance use disorders, reported greater self-medicating opioid use to relieve anxiety, reported greater problems with physical pain, were more likely to have had mental health, alcohol and drug treatment, and were less likely to be employed or in school. Heroin users also were less likely to report stable housing.

conclusionsFindings indicate that opioid overdose risk classes are grounded in contextual factors related to experiences of psychological, physiological, and social adjustment pain and distress which should be addressed in tailored interventions targeting opioid users' unique constellations of risk behaviors and comorbid conditions.

Indexed as

Risk-TakingAdultDrug OverdoseFemaleHumansMaleNew York CityOpioid-Related DisordersVeterans

Identifiers

PMID28594892
PMCPMC5464624
OpenAlexW2623776883

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.