Evidence map›Paper›PMID 30240516›Full record

ArticleThe European journal of neuroscience2019

Demand elasticity predicts addiction endophenotypes and the therapeutic efficacy of an orexin/hypocretin-1 receptor antagonist in rats.

Morgan H James, Hannah E Bowrey, Colin M Stopper, Gary Aston-Jones

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 72 citations in OpenAlex.

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  5. Demand for heroin in rats: effects of non-drug alternative substitutes and complements.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

4 authors at 1 institution in 2 countries.

Morgan H JamesBrain Health Institute, Rutgers University and Rutgers Biomedical and Health Sciences, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.ORCID 0000-0001-9298-8607
Hannah E BowreyBrain Health Institute, Rutgers University and Rutgers Biomedical and Health Sciences, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.ORCID 0000-0002-3774-4201
Colin M StopperBrain Health Institute, Rutgers University and Rutgers Biomedical and Health Sciences, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.
Gary Aston-JonesBrain Health Institute, Rutgers University and Rutgers Biomedical and Health Sciences, 683 Hoes Lane West, Piscataway, NJ, 08854, USA.ORCID 0000-0002-5034-3816
Rutgers, The State University of New Jersey · US

Funding

ROLE OF OREXIN IN COCAINE DEMAND AND ADDICTIONR01DA006214 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ASTON-JONES, GARY S. · 1989 to 2024
$6.0M
Orexin/hypocretin as a common mediator of stress and reward behavior in cocaine addictionR00DA045765 · NIDA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI JAMES, MORGAN H. · 2021 to 2023
$747k
Orexin/hypocretin as a common mediator of stress and reward behavior in cocaine addictionK99DA045765 · NIDA · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI JAMES, MORGAN H. · 2019 to 2020
$388k
Charlotte and Murray Strongwater Endowment for Neuroscience and Brain HealthNational Health and Medical Research Council 1072706National Health and Medical Research Council 1128089NIDA NIH HHS K99 DA045765NIDA NIH HHS R00 DA045765NIDA NIH HHS R01 DA006214
6 · The paper itself

Abstract

Behavioral economics is a powerful, translational approach for measuring drug demand in both humans and animals. Here, we asked if demand for cocaine in rats with limited drug experience could be used to identify individuals most at risk of expressing an addiction phenotype following either long- or intermittent access self-administration schedules, both of which model the transition to uncontrolled drug-seeking. Because the orexin-1 receptor antagonist SB-334867 (SB) is particularly effective at reducing drug-seeking in highly motivated individuals, we also asked whether demand measured after prolonged drug experience could predict SB efficacy. Demand elasticity (α) measured immediately following acquisition of cocaine self-administration ('baseline α') was positively correlated with α assessed after 2w of long- or intermittent access. Baseline α also predicted the magnitude of compulsive responding for cocaine, drug-seeking in initial abstinence and cued reinstatement following long-, intermittent- or standard short access. When demand was measured after these differential access conditions, α predicted the same addiction endophenotypes predicted by baseline α, as well as primed reinstatement and the emergence of negative emotional mood behavior following abstinence. α also predicted the efficacy of SB, such that high demand rats showed greater reductions in motivation for cocaine following SB compared to low demand rats. Together, these findings indicate that α might serve as a behavioral biomarker to predict individuals most likely to progress from controlled to uncontrolled drug use, and to identify individuals most likely to benefit from orexin-based therapies for the treatment of addiction.

Indexed as

AnimalsBehavior, AddictiveBenzoxazolesCocaineDose-Response Relationship, DrugEndophenotypesForecastingMaleMotivationNaphthyridinesOrexin Receptor AntagonistsOrexin ReceptorsRatsRats, Sprague-DawleySelf AdministrationTreatment Outcome1-(2-methylbenzoxazol-6-yl)-3-(1,5)naphthyridin-4-yl ureaBenzoxazolesCocaineNaphthyridinesOrexin Receptor AntagonistsOrexin ReceptorsUreabehavioral economicsextended accessintermittent accesslong accessreinstatement

Identifiers

PMID30240516
PMCPMC7083201
OpenAlexW2949633495

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.