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Cited by 818

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

Antioxidative and Anti-Inflammatory Properties of Cannabidiol

Open access
Atalay, Sinemyiz, Jarocka-Karpowicz, Iwona, Skrzydlewska, Elzbieta·2019·Antioxidants

Abstract

Cannabidiol (CBD) is one of the main pharmacologically active phytocannabinoids of Cannabis sativa L. CBD is non-psychoactive but exerts a number of beneficial pharmacological effects, including anti-inflammatory and antioxidant properties. The chemistry and pharmacology of CBD, as well as various molecular targets, including cannabinoid receptors and other components of the endocannabinoid system with which it interacts, have been extensively studied. In addition, preclinical and clinical studies have contributed to our understanding of the therapeutic potential of CBD for many diseases, including diseases associated with oxidative stress. Here, we review the main biological effects of CBD, and its synthetic derivatives, focusing on the cellular, antioxidant, and anti-inflammatory properties of CBD.

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Registry

Crossref · 10.3390/antiox9010021

Cites

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Citations

Cites

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Metadata

Authors
Atalay, S., Jarocka-Karpowicz, I., & Skrzydlewska, E.
Venue
Antioxidants
Publisher
MDPI AG
Published
2019-12-25
Volume
9
Issue
1
Pages
21
ISSN
2076-3921 (ISSN-L)
OpenAlex
W2998014803
Cited by
818
References
140
FWCI
34.07
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Antioxidative and Anti-Inflammatory Properties of Cannabidiol. https://app.cochat.ai/papers/10.3390/antiox9010021
The paper
Atalay, S., Jarocka-Karpowicz, I., & Skrzydlewska, E. (2019). Antioxidative and Anti-Inflammatory Properties of Cannabidiol. Antioxidants. https://doi.org/10.3390/antiox9010021

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.