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Therapeutic potential of cannabidiol (CBD) in anxiety disorders: A systematic review and meta-analysis

2024· review· en· W4399883948 on OpenAlexaff
Kevin Han, Jiayu Wang, Pengyun Wang, Y. -K. M. Peng

Bibliographic record

VenuePsychiatry Research · 2024
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCannabidiolAnxietyMeta-analysisMedicineAntipsychoticSocial anxietyPsychiatryClinical trialAnticonvulsantPsychologySchizophrenia (object-oriented programming)Internal medicineCannabisEpilepsy

Abstract

fetched live from OpenAlex

Cannabidiol (CBD), as one of the phytocannabinoids, has a wide range of therapeutic properties for various neuropsychiatric disorders due to central nervous system effects. These therapeutic properties demonstrated by preclinical and clinical studies encompass more than just anticonvulsant, anti-arthritic, analgesic, anti-inflammatory, antioxidant, antitumor, antiemetic, antipsychotic and neuroprotective effects. It has been hypothesized that CBD holds potential in the treatment of various neuropsychiatric and anxiety disorders. Thus, PRISMA was used as a guide for our systematic review. Eight of the 1550 articles screened in June 2023 were eligible for meta-analysis. Based on the 316 participants included in these eight articles, this meta-analysis revealed a substantial significant impact of CBD on anxiety with a considerable effect size (Hedges' g = -0.92, 95% CI -1.80 to -0.04). In addition, this meta-analysis focuses on the efficacy of CBD in treating anxiety disorders such as generalized anxiety disorder (GAD), social anxiety disorder (SAD), and post-traumatic stress disorder (PTSD). However, caution should be exercised in interpreting our findings due to the limited size of the clinical sample, and additional trials ought to be carried out if deemed necessary.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0030.007
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.117
GPT teacher head0.461
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2024
Admission routes1
Has abstractyes

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