Evidence map›Paper›PMID 31725426›Full record

ArticleJournal of addiction medicine

A Light in the Darkness: Repetitive Transcranial Magnetic Stimulation (rTMS) to Treat the Hedonic Dysregulation of Addiction.

Mauro Pettorruso, Massimo di Giannantonio, Luisa De Risio, Giovanni Martinotti, George F Koob

Open access · greenAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Abnormal ventromedial-to-dorsolateral hierarchical topography of striatal circuits in cocaine use disorder and its modulations by brain stimulation.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

5 authors at 1 institution in 2 countries.

Mauro PettorrusoDepartment of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy (MP, MdG, GM); Department of Psychiatry, ASL Roma 5, Rome, Italy (LDR); Institute of Psychiatry and Psychology, Università Cattolica del Sacro Cuore, Rome, Italy (LDR); Department of Pharmacy, Pharmacology, and Clinical Science, University of Hertfordshire, Herts, UK (GM); National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD (GFK).
Massimo di Giannantonio
Luisa De Risio
Giovanni Martinotti
George F Koob
GfK (United States) · US

Funding

Intramural NIH HHS Z99 AA999999
6 · The paper itself

Abstract

: The present paper discusses the potential use of repetitive transcranial magnetic stimulation (rTMS) for the treatment of addiction, within a conceptual framework that includes the "dark side" of addiction. New findings suggest that rTMS may rescue specific reward system dysfunction that underlies the pathophysiology of addiction by exposing widely under-recognized and untreated key clinical and psychopathological aspects of addictive disorders. Our paper sheds light on the relevance of these hidden dimensions for the development of effective treatment interventions. In particular, we argue that rTMS may have an impact on craving by reversing the allostatic load of hedonic dysregulation.

Indexed as

Behavior, AddictiveTranscranial Magnetic StimulationCravingHumansPrefrontal CortexTreatment Outcome

Identifiers

PMID31725426
PMCPMC7214123
OpenAlexW2985689152

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.