Evidence map›Paper›PMID 33091459›Full record

ArticleNeuropharmacology2021

Demand for fentanyl becomes inelastic following extended access to fentanyl vapor self-administration.

Sam A McConnell, Adam J Brandner, Brandon A Blank, David N Kearns, George F Koob, Leandro F Vendruscolo, Brendan J Tunstall

Open access · greenAbstract read
In one paragraph

Article in Neuropharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Stars2Cells: Astrometric Tracking of Neurons Across Imaging Sessions.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Demand for heroin in rats: effects of non-drug alternative substitutes and complements.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Adult Consequences of Repeated Nicotine Vapor Inhalation in Adolescent Rats.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  13. Article
  14. Rats chasing the dragon: A new heroin inhalation method.Journal of neuroscience methods · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors at 3 institutions in 1 country.

Sam A McConnellNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA.
Adam J BrandnerNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA.
Brandon A BlankNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA.
David N KearnsPsychology Department, American University, 4400 Massachusetts Avenue NW, Washington, DC, 20016, USA.
George F KoobNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA.
Leandro F VendruscoloNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA.
Brendan J TunstallNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD, 21224, USA. Electronic address: brendan.tunstall@nih.gov.
National Institutes of Health · USNational Institute on Drug Abuse · USAmerican University · US

Funding

Neurobiology of AddictionZIADA000602 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI KOOB, GEORGE · 2019 to 2025
$16.3M
Opposing Contributions of Oxytocin and Corticotropin-Release Factor to Alcohol DependenceR00DA048530 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI TUNSTALL, BRENDAN · 2021 to 2023
$814k
Intramural NIH HHS Z99 DA999999NIDA NIH HHS K99 DA048530NIDA NIH HHS R00 DA048530
6 · The paper itself

Abstract

Opioid use disorder imposes great societal harm in the United States and in countries worldwide. Animal models that accurately capture motivational changes that occur in opioid dependence are critical to studying this disorder. The present study used a model of opioid vapor self-administration combined with a behavioral economics approach to determine whether rats would be more motivated to "work" to defend their baseline intake of fentanyl (i.e., more inelastic demand) following sufficiently frequent, intense, and chronic exposure to self-administered vaporized fentanyl. Male rats were allowed to respond for deliveries of 1.5-s of vaporized 10 mg/ml fentanyl solution. Following 15 sessions of short access (ShA; 1 h) vs. long access (LgA; 12 h) to self-administration, we conducted a between-sessions demand curve procedure, and observed significantly more inelastic demand for fentanyl (Essential Value; EV), and increased maximal response output (O

Indexed as

Economics, BehavioralAnalgesics, OpioidAnimalsBehavior, AddictiveFentanylMaleRatsRats, WistarSelf AdministrationVolatilizationAnalgesics, OpioidFentanylAddictionBehavioral economicsMotivationOpioid dependenceOpioid use disorder

Identifiers

PMID33091459
PMCPMC7747488
OpenAlexW3093934902

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.