Paper Title

formulation and evaluation of anti-inflammatory creams using herbal creams

Authors

P SUSHMA , K MOUNIKA , SREEJA REDDY , PAVAN KALYAN

Keywords

herbal creams, acacia, green tea, anti-inflammatory, emulsion.

Abstract

The aim of this study was to assess the anti-inflammatory potential of herbal creams formulated with extracts of Plane, Acacia, Neem, and Green Tea. The creams were prepared using standard procedures and evaluated for their anti-inflammatory activity using in vitro and in vivo models. In vitro evaluation involved the assessment of inhibition of pro-inflammatory cytokines and enzymes, while in vivo evaluation was conducted using carrageenan-induced paw edema model in rats. The results revealed significant anti-inflammatory activity for all herbal creams compared to the control group. Among the formulations, the Neem cream exhibited the highest inhibition of pro- inflammatory markers in vitro, while the Green Tea cream demonstrated the most pronounced reduction in paw edema in vivo. These findings suggest the potential of herbal creams containing Neem and Green Tea extracts as effective anti-inflammatory agents, warranting further investigation for their clinical utility.

How To Cite

"formulation and evaluation of anti-inflammatory creams using herbal creams", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b666-b698, October-2024, Available :https://ijnrd.org/papers/IJNRD2410176.pdf

Issue

Volume 9 Issue 10, October-2024

Pages : b666-b698

Other Publication Details

Paper Reg. ID: IJNRD_226652

Published Paper Id: IJNRD2410176

Downloads: 00042

Research Area: Pharmacy

Country: HYDERABAD, TELANGANA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410176

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410176

About Publisher

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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