Evidence map›Paper›PMID 39376891›Full record

ReviewCureus2024

A Systematic Review of Phenibut Withdrawals.

Christopher Stewart, Hunter Simonsen, Savitha K Satyasi, Nauman Ashraf, Suporn Sukpraprut-Braaten

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Christopher StewartMedicine, Kansas City University, Joplin, USA.
Hunter SimonsenMedicine, Kansas City University, Joplin, USA.
Savitha K SatyasiPsychiatry, Freeman Health System, Joplin, USA.
Nauman AshrafPsychiatry, Freeman Health System, Joplin, USA.
Suporn Sukpraprut-BraatenMedicine, Kansas City University, Joplin, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenibut is an anxiolytic agent that was originally used as a treatment for anxiety, depression, post-traumatic stress disorder (PTSD), and insomnia. It is a gamma-aminobutyric acid (GABA) mimetic, which stimulates GABA receptors in the brain. This increases the inhibitory effects of GABA leading to a greater chance of a sedative response and risk for abuse. It is not currently registered in Western countries but is easily accessible online as a supplement. This is a systematic review of case reports of phenibut patients with withdrawal symptoms published in the PubMed database between January 2010 and October 2023. Following the inclusion criteria application, 15 articles were included. Descriptive statistics were used to analyze the results. The average age of patients with phenibut withdrawals was 31.8 years (SD=12.66 years), and 13 cases (87%) were males. The average dosage was 13.6 g/day (SD=8 g), ranging from 1.5 to 28.5 g/day. Nine cases (60%) presented at an emergency department, and three cases (17%) were presented at a clinic setting facility. The most common history of patients who took phenibut was alcohol or drug abuse (73%). A history of anxiety and depression (60%) was also seen in the majority of patient presentations. Phenibut is never prescribed in the United States, and there are no official guidelines for phenibut use. Educating all physicians about the potentially harmful supplements available to patients and their biological mechanisms is essential. This review highlights the importance of collecting a thorough patient history, including supplements, to help prevent phenibut misuse and subsequent withdrawals.

Indexed as

addictiononline supplementphenibutsupplement abusewithdrawal symptoms

Identifiers

PMID39376891
PMCPMC11456982

What OpenQuestion holds

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Registered trials

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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.