Taraxacum: A Review of Ethnopharmacology, Phytochemistry and Pharmacological Activity.
Published In: American Journal of Chinese Medicine, 2024, v. 52, n. 1. P. 183 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Hao, Fusheng; Deng, Xinxin; Yu, Xin; Wang, Wen; Yan, Wei; Zhao, Xi; Wang, Xiaofei; Bai, Changcai; Wang, Zhizhong; Han, Lu 3 of 3
Abstract
Taraxacum refers to the genus Taraxacum, which has a long history of use as a medicinal plant and is widely distributed around the world. There are over 2500 species in the genus Taraxacum recorded as medicinal plants in China, Central Asia, Europe, and the Americas. It has traditionally been used for detoxification, diuresis, liver protection, the treatment of various inflammations, antimicrobial properties, and so on. We used the most typically reported Taraxacum officinale as an example and assembled its chemical makeup, including sesquiterpene, triterpene, steroids, flavone, sugar and its derivatives, phenolic acids, fatty acids, and other compounds, which are also the material basis for its pharmacological effects. Pharmacological investigations have revealed that Taraxacum crude extracts and chemical compounds contain antimicrobial infection, anti-inflammatory, antitumor, anti-oxidative, liver protective, and blood sugar and blood lipid management properties. These findings adequately confirm the previously described traditional uses and aid in explaining its therapeutic applications. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:American Journal of Chinese Medicine. 2024/01, Vol. 52, Issue 1, p183
- Document Type:Article
- Subject Area:Complementary and Alternative Medicine
- Publication Date:2024
- ISSN:0192-415X
- DOI:10.1142/S0192415X24500083
- Accession Number:175944488
- Copyright Statement:Copyright of American Journal of Chinese Medicine is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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