Evidence map›Paper›PMID 37823965›Full record

ReviewJournal of neural transmission (Vienna, Austria : 1996)2024

Deep brain stimulation for psychostimulant use disorders.

Sarah E Swinford-Jackson, R Christopher Pierce

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neural transmission (Vienna, Austria : 1996), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Spinal-QDCNN: advanced feature extraction for brain tumor detection using MRI images.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
  4. Review
  5. 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.

Sarah E Swinford-JacksonBrain Health Institute and Department of Psychiatry, Rutgers University, 683 Hoes Lane West Room 160, Piscataway, NJ, 08854-5635, USA. sarah.jackson@rutgers.edu.ORCID 0000-0002-6059-2939
R Christopher PierceBrain Health Institute and Department of Psychiatry, Rutgers University, 683 Hoes Lane West Room 160, Piscataway, NJ, 08854-5635, USA.
Rutgers, The State University of New Jersey · US

Funding

Transgenerational Inheritance of a Cocaine Resistance PhenotypeR01DA033641 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI Robert Christopher Pierce · 2012 to 2026
$7.3M
NIDA NIH HHS 033641
6 · The paper itself

Abstract

Safe and effective therapeutics for psychostimulant use disorders remain elusive. Deep brain stimulation (DBS), which is FDA-approved for other indications, is a promising candidate for treating severe substance use disorders. We examine the clinical and preclinical evidence for DBS of the nucleus accumbens as a possible therapeutic option for cocaine and methamphetamine use disorders. Limitations of the literature to date, including the lack of females included in studies evaluating the efficacy of DBS, and new strategies to optimize brain stimulation approaches are also discussed.

Indexed as

Deep Brain StimulationSubstance-Related DisordersAmphetamine-Related DisordersAnimalsCentral Nervous System StimulantsCocaine-Related DisordersHumansMethamphetamineNucleus AccumbensCentral Nervous System StimulantsMethamphetamineCocaineDeep brain stimulationMethamphetamineNucleus accumbensSubstance use disorders

Identifiers

PMID37823965
OpenAlexW4387563636

What OpenQuestion holds

Textmetadata
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.