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Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age, characterized by hormonal imbalance, metabolic disturbances, and reproductive dysfunction. The increasing prevalence of PCOS and the limitations associated with conventional therapies have led to growing interest in herbal and polyherbal formulations as alternative treatment approaches. The present study focuses on the evidence-based phytopharmacological validation and standardization of Pushyanuga Churna, a classical Ayurvedic polyherbal formulation widely used in gynecological disorders. Comprehensive evaluation of marketed samples of Pushyanuga Churna was carried out using physicochemical, phytochemical, and chromatographic (HPTLC) analyses to establish quality control parameters. Organoleptic properties, pH, ash values, extractive values, moisture content, and flow properties were assessed. Preliminary phytochemical screening confirmed the presence of bioactive constituents such as flavonoids, phenolics, alkaloids, saponins, and terpenoids, contributing to its therapeutic potential. Chromatographic fingerprinting demonstrated variations among different marketed formulations, indicating differences in composition and processing methods.The study highlights the importance of standardization and quality assessment of polyherbal formulations to ensure safety, efficacy, and reproducibility. The findings provide scientific validation for the traditional use of Pushyanuga Churna in PCOS management and establish baseline data for its inclusion in modern therapeutic systems.
"EVIDENCE BASED PHYTOPHARMACOLOGICAL VALIDATION OF AN AYURVEDIC FORMULATION OF PUSHYANUGA CHURNA.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c574-c591, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604342.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator