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Cannabidiol: A Potential New Alternative for the Treatment of Anxiety, Depression, and Psychotic Disorders
Open accessAbstract
The potential therapeutic use of some Cannabis sativa plant compounds has been attracting great interest, especially for managing neuropsychiatric disorders due to the relative lack of efficacy of the current treatments. Numerous studies have been carried out using the main phytocannabinoids, tetrahydrocannabinol (THC) and cannabidiol (CBD). CBD displays an interesting pharmacological profile without the potential for becoming a drug of abuse, unlike THC. In this review, we focused on the anxiolytic, antidepressant, and antipsychotic effects of CBD found in animal and human studies. In rodents, results suggest that the effects of CBD depend on the dose, the strain, the administration time course (acute vs. chronic), and the route of administration. In addition, certain key targets have been related with these CBD pharmacological actions, including cannabinoid receptors (CB1r and CB2r), 5-HT1A receptor and neurogenesis factors. Preliminary clinical trials also support the efficacy of CBD as an anxiolytic, antipsychotic, and antidepressant, and more importantly, a positive risk-benefit profile. These promising results support the development of large-scale studies to further evaluate CBD as a potential new drug for the treatment of these psychiatric disorders.
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“CBD’s therapeutic potential for reducing depression-like behavior has been shown, since it interacts with a wide range of brain molecules395,396.”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [396]
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Metadata
- Authors
- García-Gutiérrez, M. S., Navarrete, F., Gasparyan, A., Austrich-Olivares, A., Sala, F., & Manzanares, J.
- Affiliations
- Neurosciences Institute, University Miguel Hernández-CSIC, Avda de Ramón y Cajal s/n, San Juan de Alicante, 03550 Alicante, Spain
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Manzanares, Jorge
- Venue
- Biomolecules
- Publisher
- MDPI AG
- Published
- 2020-11-19
- Volume
- 10
- Issue
- 11
- Pages
- 1575
- ISSN
- 2218-273X (ISSN-L)
- PMC
- PMC7699613
- OpenAlex
- W3101299715
- Cited by
- 306
- References
- 213
- Citations by year
- 2026: 24 · 2025: 79 · 2024: 62 · 2023: 66 · 2022: 46 · 2021: 29
- FWCI
- 4.62
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Biomolecules (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Cannabis and Cannabinoid Research
- Health Sciences › Medicine › Complementary and alternative medicine › Medicinal Plant Extracts Effects
- Social Sciences › Psychology › Clinical Psychology › Psychedelics and Drug Studies
- Keywords
- cannabidiol, anxiety, depression, psychosis, anxiolytic effects, antidepressant effects, antipsychotic effects, tetrahydrocannabinol, phytocannabinoids, cannabinoid receptors, CB1 receptor, CB2 receptor, 5-HT1A receptor, neurogenesis, dose-dependent effects, route of administration, clinical trials, risk-benefit profile
- MeSH terms
- Animals, Anxiety, Cannabidiol, Depression, Dose-Response Relationship, Drug, Drug Administration Routes, Humans, Psychotic Disorders, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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