JOURNAL ARTICLE

Herbal Alternatives for Oral Health: Mechanistic Exploration with their Market Potential.

  • Published In: Journal of Ravishankar University, Part-B Science, 2024, v. 37, n. 1. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Dwivedi, Shradha Devi; Yadav, Madhu; Singh, Deependra; Singh, Manju Rawat 3 of 3

Abstract

The utilization of customary methods for oral cleanliness maintenance has a long-written history. Herbs are making a comeback all over the world. Herbal extracts have been used in dentistry to alleviate pain as antimicrobial plaque specialists, to delay receptor arrival, and as germicides, cancer prevention agents, antimicrobials, antifungals, antibacterial, antiviral, and analgesics. Current article gives an outline of different natural products used in oral care with their impacts on oral health, restorative actions, applications, and marketed products. This article also highlights mechanistic need of oral cleanliness and the different dental diseases associated with it. The regular phytochemicals could offer a successful anti-microbial and address ways to deal with avoidance and restorative systems for different dental infections. There are different herbal formulations available on the market for oral care such as paste, mouthwash, gargles, gels, etc. creating need for awareness of consumers towards the herbal products. In these review, we have also discussed the commercial aspect of the herbal dental products along with assessment of side effects and toxicity of these herbs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Ravishankar University, Part-B Science. 2024/01, Vol. 37, Issue 1, p1
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:09705910
  • DOI:10.52228/JRUB.2024-37-1-1
  • Accession Number:178303001
  • Copyright Statement:Copyright of Journal of Ravishankar University, Part-B Science is the property of Ravishankar Shukla University 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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