Evidence map›Paper›PMID 29217282›Full record

ArticleNeuropharmacology2018

Atypical dopamine transporter inhibitors attenuate compulsive-like methamphetamine self-administration in rats.

Brendan J Tunstall, Chelsea P Ho, Jianjing Cao, Janaína C M Vendruscolo, Brooke E Schmeichel, Rachel D Slack, Gianluigi Tanda, Alexandra J Gadiano, Rana Rais, Barbara S Slusher and 3 more

Open access · greenAbstract read
In one paragraph

Article in Neuropharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Potential therapeutics for effort-related motivational dysfunction: assessing novel atypical dopamine transport inhibitors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  10. Article
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  17. Review
  18. Proteome-Informed Machine Learning Studies of Cocaine Addiction.The journal of physical chemistry letters · 2021
    Article
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  20. 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

13 authors at 2 institutions in 1 country.

Brendan J TunstallNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Chelsea P HoNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Jianjing CaoMolecular Targets and Medications Discovery Program, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Janaína C M VendruscoloNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Brooke E SchmeichelNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Rachel D SlackMolecular Targets and Medications Discovery Program, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Gianluigi TandaMolecular Targets and Medications Discovery Program, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Alexandra J GadianoMolecular Targets and Medications Discovery Program, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; Department of Neurology, Johns Hopkins Drug Discovery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Rana RaisDepartment of Neurology, Johns Hopkins Drug Discovery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Barbara S SlusherDepartment of Neurology, Johns Hopkins Drug Discovery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
George F KoobNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Amy H NewmanMolecular Targets and Medications Discovery Program, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA. Electronic address: anewman@intra.nida.nih.gov.
Leandro F VendruscoloNeurobiology of Addiction Section, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA. Electronic address: leandro.vendruscolo@nih.gov.
National Institutes of Health · USJohns Hopkins University · US

Funding

Investigation On The Behavior And Related Neuro-Electrochemistry Of Potential Medications For The Treatment Of Substance Use Disorders.ZIADA000611 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI TANDA, GIANLUIGI · 2016 to 2025
$16.0M
Novel Probes for the Monoamine TransportersZIADA000389 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI NEWMAN, AMY HAUCK · 2009 to 2025
$14.4M
Intramural NIH HHS Z99 DA999999
6 · The paper itself

Abstract

Methamphetamine (METH) is a highly addictive drug, but no pharmacological treatment is yet available for METH use disorders. Similar to METH, the wake-promoting drug (R)-modafinil (R-MOD) binds to the dopamine transporter (DAT). Unlike METH, R-MOD is not a substrate for transport by DAT and has low abuse potential. We tested the hypothesis that the atypical DAT inhibitor R-MOD and compounds that are derived from modafinil would decrease METH intake by reducing the actions of METH at the DAT. We tested the effects of systemic injections of R-MOD and four novel modafinil-derived ligands with increased DAT affinity (JJC8-016, JJC8-088, JJC8-089, and JJC8-091) on intravenous (i.v.) METH self-administration in rats that were allowed short access (ShA; 1 h) or long access (LgA; 6 h) to the drug. ShA rats exhibited stable METH intake over sessions, whereas LgA rats exhibited an escalation of drug intake. R-MOD decreased METH self-administration in ShA and LgA rats (in the 1st hour only). JJC8-091 and JJC8-016 decreased METH self-administration in both ShA and LgA rats. JJC8-089 decreased METH self-administration in LgA rats only, whereas JJC8-088 had no effect on METH self-administration in either ShA or LgA rats. These findings support the potential of atypical DAT inhibitors for the treatment of METH use disorders and suggest several novel compounds as candidate drugs.

Indexed as

Analysis of VarianceAnimalsBenzhydryl CompoundsCentral Nervous System StimulantsCompulsive BehaviorConditioning, OperantDopamine AntagonistsDopamine Plasma Membrane Transport ProteinsDose-Response Relationship, DrugMaleMethamphetamineModafinilPropylaminesRatsRats, WistarSaccharinBenzhydryl CompoundsCentral Nervous System StimulantsDopamine AntagonistsDopamine Plasma Membrane Transport ProteinsMethamphetamineModafinilN-(2-((bis(4-fluorophenyl)methyl)thio)ethyl)-3-phenylpropan-1-aminePropylaminesSaccharinWakefulness-Promoting AgentsAddictionDopamine transporter (DAT)Drug dependenceMethamphetamineOperant intravenous self-administration

Identifiers

PMID29217282
PMCPMC5820113
OpenAlexW2775100653

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.