JOURNAL ARTICLE

Medicinal Plant Extracts and Herbal Formulations to control hepatotoxicity: A Review.

  • Published In: Allelopathy Journal, 2025, v. 65, n. 1. P. 93 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bhati, Annu; Mazumder, Avijit; Bansal, Priyanka; Salahuddin 3 of 3

Abstract

Hepatotoxicity, which arises from exposure to various toxins, pharmaceuticals, infections, or metabolic disorders, is a significant global health issue. Traditional treatment methods often come with considerable side effects, leading to increased interest in plant-based solutions recognized for their effectiveness and safety. Historically, medicinal plants have been used in traditional medicine systems for liver protection, providing bioactive compounds such as flavonoids, alkaloids and polyphenols that demonstrate anti-inflammatory, antioxidant, and hepatoprotective effects. This review aimed to show the potential of different plants by examining their phytochemical compositions and mechanisms through which they mitigate liver damage and additionally, it provides a list of potential plant species for liver health applications. By analysing scientifically validated research and identifying less-studied plant species, this study underscores the necessity for further exploration to incorporate these natural remedies into contemporary therapeutic practices. Such an approach could facilitate the creation of innovative and sustainable treatments for liver-related conditions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Allelopathy Journal. 2025/05, Vol. 65, Issue 1, p93
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0971-4693
  • DOI:10.26651/allelo.j/2025-65-1-1533
  • Accession Number:185124603
  • Copyright Statement:Copyright of Allelopathy Journal is the property of International Allelopathy Foundation 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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