Evidence map›Paper›PMID 42540381›Full record

SynthesisFrontiers in psychiatry2026

Ketamine for substance use disorders: a systematic review and meta-analysis.

Shu-Ping Fang, Xin Yang, Da-Cong Zhao, Yang Wen, Yi-Hao Liu, Zhe Li, Mao-Sheng Ran

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2026. 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

7 authors.

Shu-Ping Fang *Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xin Yang *Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Da-Cong ZhaoDepartment of Radiology, Dazhou Hospital of Integrated Traditional Chinese and Western Medicine, Dazhou, China.
Yang WenMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yi-Hao LiuMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhe LiMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mao-Sheng RanMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Substance use disorder (SUD) is a major global health issue, contributing significantly to the disease burden. Despite this, effective treatments for SUD remain limited. Ketamine has shown potential as a treatment, yet no meta-analysis has assessed its efficacy for SUD. This study aimed to evaluate the efficacy and safety of ketamine in treating SUD. Methods: Multiple databases were systematically searched forrandomized controlled trials (RCTs) on ketamine for SUD treatment. The primary outcome was abstinence rates. Adverse events and dropout rates were also assessed to evaluate safety and acceptability. A random-effects model was used to conduct the meta-analysis. Results: Fifteen RCTs with 798 participants were included; seven RCTs contributed abstinence data to the quantitative synthesis. Ketamine was associated with significantly improved abstinence at <1 month [odds ratio(OR) = 3.27, 95% CI: 1.55-6.92, I Discussion: Current evidence suggests a short-term efficacy signal for ketamine in SUD, but the evidence remains limited and insufficient to establish its efficacy and safety conclusively. Systematic review registration: identifier CRD42024607116.

Indexed as

efficacyketaminemeta-analysissafetysubstance use disorder

Identifiers

PMID42540381
PMCPMC13426052

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.