Evidence map›Paper›PMID 34264734›Full record

ArticleExperimental and clinical psychopharmacology2021

The discounting of death: Probability discounting of heroin use by fatal overdose likelihood and drug purity.

Sean B Dolan, Matthew W Johnson, Kelly E Dunn, Andrew S Huhn

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Exploring risk tolerance among individuals who use opioids.Experimental and clinical psychopharmacology · 2026
    Article
  3. Article
  4. Article
  5. 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

4 authors.

Sean B DolanBehavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.ORCID 0000-0003-1828-9589
Matthew W JohnsonBehavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.
Kelly E DunnBehavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.
Andrew S HuhnBehavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
Evaluating Suvorexant for Sleep Disturbance in Opioid Use DisorderUG3DA048734 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DUNN, KELLY E, HUHN, ANDREW S · 2019 to 2020
$2.2M
Dose effects of nicotine: Behavioral economics of cigarette abuse liabilityR01DA042527 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, MATTHEW WAYNE · 2016 to 2018
$2.1M
NIDA NIH HHS R01 DA042527NIDA NIH HHS T32 DA007209NIDA NIH HHS UG3 DA048734
6 · The paper itself

Abstract

As fatal overdoses from synthetic opioids continue to rise, we need to understand decision-making processes underlying heroin and synthetic opioid use. This study evaluated the influence of sample impurity and fatal overdose risk on hypothetical heroin use. Individuals who currently use heroin (n = 69) were recruited online. Participants completed two probability-discounting tasks evaluating the likelihood of using a sample of heroin based on the likelihood of sample impurity and likelihood of fatal overdose, where greater discounting represented reduced use likelihood. Prior to completing the probability-discounting tasks, participants were randomized to read one of four prompts varying by the presence of information on heroin effects and active (e.g., fentanyl) or inert impurities. Influence of prompts on discounting processes and associations among probability-discounting measures, opioid use behaviors, and dependence severity were evaluated. Heroin use likelihood decreased with increased impurity or overdose risk and in a generally orderly fashion. Discounting was greater (i.e., reduced heroin use likelihood) when overdose risk, compared to sample impurity, was manipulated. Less discounting was associated with more severe opioid dependence. Discounting did not differ among prompts for either task. Individuals might adjust their heroin-use behavior to reduce harm with risk-related information. Greater discounting elicited by overdose relative to impurity risk suggests that equating adulteration and overdose risk is essential for harm reduction. Expanded access to drug checking services, which inform impurity and overdose risk, can reduce fatal overdoses. Due to fear of legal sanctions for these services, legislation and judicial decisions should explicitly protect these services. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Indexed as

Attitude to DeathAdultAnalgesics, OpioidDrug ContaminationDrug OverdoseFemaleFentanylHarm ReductionHeroinHeroin DependenceHumansMaleProbabilityRiskAnalgesics, OpioidFentanylHeroin

Identifiers

PMID34264734
PMCPMC8524386

What OpenQuestion holds

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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.