Evidence map›Paper›PMID 31710994›Full record

ArticleDrug and alcohol dependence2019

Individual differences in human opioid abuse potential as observed in a human laboratory study.

Kelly E Dunn, Frederick S Barrett, Bruna Brands, David C Marsh, George E Bigelow

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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  4. Paternal heroin self-administration in rats increases drug-seeking behavior in male offspring via miR-19b downregulation in the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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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

5 authors.

Kelly E DunnBehavioral Pharmacology Research Unit, Johns Hopkins University School of Medicine, United States. Electronic address: kdunn9@jhmi.edu.
Frederick S BarrettBehavioral Pharmacology Research Unit, Johns Hopkins University School of Medicine, United States.
Bruna BrandsHealth Canada, Canada; Centre for Addiction and Mental Health, Canada; University of Toronto, Canada.
David C MarshNorthern Ontario School of Medicine, Canada.
George E BigelowBehavioral Pharmacology Research Unit, Johns Hopkins University School of Medicine, United States.

Funding

Using Cannabinoids to Enhance Opioid Analgesic Effects in HumansR01DA040644 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE, DUNN, KELLY E · 2016 to 2021
$3.4M
A118G SNP and OPRM1 Gene Opioid-Mediated Effects in HumansR01DA035246 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DUNN, KELLY E · 2014 to 2018
$3.2M
Opioid and cannabinoid combinations in laboratory and clinical painR01DA042751 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE, DUNN, KELLY E · 2017 to 2020
$2.2M
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
NIDA NIH HHS R01 DA035246NIDA NIH HHS R01 DA040644NIDA NIH HHS R01 DA042751NIDA NIH HHS UG3 DA048734
6 · The paper itself

Abstract

backgroundOpioids have high abuse potential and pose a major public health concern. Yet, a large percentage of individuals exposed to opioids do not develop problematic use. Individual differences in opioid abuse potential are not well understood.

methodsThis within-subject (N = 16), double-blind, double-dummy, human laboratory study evaluated individual differences in response to dose (placebo, low, medium, high) following administration of heroin and hydromorphone through intravenous and subcutaneous routes, in opioid-experienced but non physically-dependent participants. Outcomes were self-reported visual analog scale (VAS) ratings (High, Liking, Drug Effect, Good Effect, Rush), pupil diameter change from baseline, and crossover point on the Drug vs. Money questionnaire. The degree to which results were consistent across measures within an individual was assessed using a mixed-effects model from which an intraclass correlation coefficient measure of between and within-subject variance was derived.

resultsThe mixed effects model fit was significant (p < 0.0001) and revealed that 85.5% of the explainable variance was due to between-subject effects, suggesting the responses within an individual were highly consistent. Visual inspection reveals a myriad response pattern across participants, with some demonstrating classic dose-effect responses and others not differentiating any active doses from placebo.

conclusionsData suggest the abuse potential of opioids is significantly different between individuals but that the experience within an individual is highly consistent. Research to prospectively characterize and evaluate mechanisms underlying these differences is warranted and may provide a foundation to help identify persons at heightened risk of transitioning from opioid exposure to misuse and/or opioid use disorder.

Indexed as

IndividualitySelf ReportAdministration, IntravenousAdultAnalgesics, OpioidCross-Over StudiesDose-Response Relationship, DrugDouble-Blind MethodEmotionsFemaleHeroinHumansHydromorphoneInjections, SubcutaneousMaleMiddle AgedAnalgesics, OpioidHeroinHydromorphoneHeroinHuman individual differencesHydromorphoneOpioidPersonalized medicine

Identifiers

PMID31710994
PMCPMC7219469

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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.