Evidence map›Paper›PMID 31698743›Full record

ReviewJournal of clinical medicine2019

Neurocircuitry of Reward and Addiction: Potential Impact of Dopamine-Glutamate Co-release as Future Target in Substance Use Disorder.

Zisis Bimpisidis, Åsa Wallén-Mackenzie

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Incidence and predictors of problem gambling in first-episode psychosis: A prospective multicentre cohort study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Observational
  3. Article
  4. Article
  5. Dopamine-Glutamate and Dopamine-GABA Co-release.Advances in neurobiology · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. The Dopaminergic Control of Movement-Evolutionary Considerations.International journal of molecular sciences · 2021
    Review
  10. Review
  11. Astrocytes in Addictive Disorders.Advances in neurobiology · 2021
    Article
  12. Article
  13. 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

2 authors at 1 institution in 1 country.

Zisis BimpisidisDepartment of Organismal Biology, Uppsala University, S-752 36 Uppsala, Sweden.
Åsa Wallén-MackenzieDepartment of Organismal Biology, Uppsala University, S-752 36 Uppsala, Sweden.
Uppsala University · SE

Funding

Vetenskapsrådet 2017-02039
6 · The paper itself

Abstract

Dopamine-glutamate co-release is a unique property of midbrain neurons primarily located in the ventral tegmental area (VTA). Dopamine neurons of the VTA are important for behavioral regulation in response to rewarding substances, including natural rewards and addictive drugs. The impact of glutamate co-release on behaviors regulated by VTA dopamine neurons has been challenging to probe due to lack of selective methodology. However, several studies implementing conditional knockout and optogenetics technologies in transgenic mice have during the past decade pointed towards a role for glutamate co-release in multiple physiological and behavioral processes of importance to substance use and abuse. In this review, we discuss these studies to highlight findings that may be critical when considering mechanisms of importance for prevention and treatment of substance abuse.

Indexed as

addictionamphetaminecocaineoptogeneticsrewardself-administrationtransgenic mice

Identifiers

PMID31698743
PMCPMC6912639
OpenAlexW2984595278

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.