Evidence map›Paper›PMID 39657242›Full record

ReviewThe international journal of neuropsychopharmacology2025

A novel insight into the antidepressant effect of cannabidiol: possible involvement of the 5-HT1A, CB1, GPR55, and PPARγ receptors.

Yang Miao, Fei Zhao, Wei Guan

Abstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Yang MiaoDepartment of Pharmacology, The First People's Hospital of Yancheng, Yancheng, Jiangsu, China.
Fei ZhaoDepartment of Pharmacology, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin, Jiangsu, China.
Wei GuanDepartment of Pharmacology, Pharmacy College, Nantong University, Nantong, Jiangsu, China.ORCID 0000-0002-7967-3456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a prevalent and disabling disorder that poses serious problems in mental health care, and rapid antidepressants are novel treatments for this disorder. Cannabidiol (CBD), a nonintoxicating phytocannabinoid, is thought to have therapeutic potential due to its important neurological and anti-inflammatory properties. Despite major advances in pharmacotherapy in experimental animals, the exact mechanism of antidepressant-like effects remains to be elucidated.

methodsIn this paper, we review the current state of knowledge on the antidepressant properties of CBD in numerous experimental and clinical studies.

resultsAccumulating evidence suggests that CBD has antidepressant properties in humans and animals with few side effects, suggesting that CBD may be a potential antidepressant. Furthermore, we discuss that CBD may therefore provide a potential treatment to exert antidepressant-like effects through various molecular targets, reducing inflammation, and enhancing neurogenesis.

conclusionsTaken together with the growing popularity of CBD as a medicine, these findings extend the limited knowledge on the antidepressant effects of CBD. This potentially opens up new therapeutic means for the patients with depression.

Indexed as

Antidepressive AgentsCannabidiolDepressionDepressive DisorderReceptors, CannabinoidAnimalsHumansPPAR gammaReceptor, Cannabinoid, CB1Receptor, Serotonin, 5-HT1AReceptors, G-Protein-CoupledAntidepressive AgentsCannabidiolPPAR gammaReceptor, Cannabinoid, CB1Receptors, CannabinoidReceptor, Serotonin, 5-HT1AReceptors, G-Protein-Coupled5-HT1A receptorCBDdepressionGPR55inflammationneurogenesis

Identifiers

PMID39657242
PMCPMC11878560

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.