Evidence map›Paper›PMID 27776247›Full record

ArticleDrug and alcohol dependence2016

Delay discounting in opioid use disorder: Differences between heroin and prescription opioid users.

Sterling L Karakula, Roger D Weiss, Margaret L Griffin, Allison M Borges, Allen J Bailey, R Kathryn McHugh

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Impaired delay discounting and time sensitivity in methcathinone use disorder.European archives of psychiatry and clinical neuroscience · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Differences in decision-making as a function of drug of choice.Pharmacology, biochemistry, and behavior · 2018
    Review
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  16. 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

6 authors at 3 institutions in 1 country.

Sterling L KarakulaDivision of Alcohol and Drug Abuse, McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States. Electronic address: skarakula@harvard.mclean.edu.
Roger D WeissDivision of Alcohol and Drug Abuse, McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States; Department of Psychiatry, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States.
Margaret L GriffinDivision of Alcohol and Drug Abuse, McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States; Department of Psychiatry, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States.
Allison M BorgesDepartment of Psychology, Rutgers University, 152 Frelinghuysen Rd., Piscataway, NJ 08854, United States.
Allen J BaileyDivision of Alcohol and Drug Abuse, McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States.
R Kathryn McHughDivision of Alcohol and Drug Abuse, McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States; Department of Psychiatry, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States.
McLean Hospital · USHarvard University · USRutgers, The State University of New Jersey · US

Funding

Mentoring in Drug Abuse and Dual Diagnosis ResearchK24DA022288 · NIDA · MCLEAN HOSPITAL · PI WEISS, ROGER D. · 2007 to 2016
$1.8M
GENDER DIFFERENCES IN MECHANISMS OF RECOVERY FROM OPIOID USE DISORDER AND ANXIETYK23DA035297 · NIDA · MCLEAN HOSPITAL · PI MCHUGH, REBECCA KATHRYN · 2014 to 2018
$959k
NIDA NIH HHS K23 DA035297NIDA NIH HHS K24 DA022288
6 · The paper itself

Abstract

backgroundAmong those with opioid use disorder, heroin use is associated with poorer prognosis relative to use of prescription opioids alone. However, relatively little is known about distinguishing features between those who use heroin relative to those who use prescription opioids. In the present study we evaluated differences in delay discounting in those with opioid use disorder based on primary opioid of use. Delay discounting is associated with a range of negative outcomes and is an important therapeutic target in this population.

methodsTreatment-seeking adults with opioid dependence completed self-report measures including past-month opioid use and the Monetary Choice Questionnaire (Kirby and Marakovic, 1996; Kirby et al., 1999), a measure of delay discounting. Participants were divided into two groups based on whether they used any heroin in the past 30days or only prescription opioids, and delay discounting scores were compared between the groups. Group differences in sociodemographic or clinical variables were included in the analysis as covariates.

resultsResults from a forward stepwise linear regression indicated that heroin use was associated with significantly higher delay discounting (B=-0.99, SE

conclusionsAdults with opioid dependence who exclusively used prescription opioids had lower delay discounting relative to those who used heroin. This finding contributes further to the literature suggesting that heroin use is associated with greater clinical severity among those with opioid use disorder.

Indexed as

Delay DiscountingAdultAnalgesics, OpioidCross-Sectional StudiesFemaleHeroinHeroin DependenceHumansMaleMiddle AgedOpioid-Related DisordersPrescription Drug MisuseSelf ReportSurveys and QuestionnairesYoung AdultAnalgesics, OpioidHeroinAddictionDelay discountingHeroinImpulsivityOpioid use disorderPrescription opioids

Identifiers

PMID27776247
PMCPMC5486990
OpenAlexW2532082741

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.