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@article{205836,
        author = {Dr.Avtar Singh and Dr.Ishan Malhotra},
        title = {Rasa Panchaka as a Predictive Framework for Pharmacological Activity of Ayurvedic Medicinal Plants: An Integrative Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {8703-8710},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205836},
        abstract = {The concept of Rasa Panchaka constitutes the fundamental pharmacodynamic framework of Ayurveda and serves as the principal basis for understanding the therapeutic actions of medicinal plants. Comprising Rasa, Guna, Virya, Vipaka, and Prabhava, this multidimensional approach provides a systematic method for predicting drug behavior, clinical efficacy, and biological responses. In recent years, increasing interest has emerged in exploring the scientific relevance of classical Ayurvedic principles through modern pharmacological perspectives. The present integrative review aims to critically examine the potential of Rasa Panchaka as a predictive framework for pharmacological activities of Ayurvedic medicinal plants. Relevant classical Ayurvedic literature and contemporary scientific studies were analyzed to explore correlations between Rasa Panchaka attributes and experimentally validated pharmacological effects. Evidence suggests that specific Rasa profiles may correspond with characteristic phytochemical constituents, while Guna and Virya demonstrate notable associations with pharmacodynamic properties such as anti-inflammatory, antioxidant, immunomodulatory, antimicrobial, and adaptogenic activities. Furthermore, Vipaka may reflect metabolic outcomes, whereas Prabhava may explain unique therapeutic actions not fully accounted for by conventional pharmacological mechanisms. Case-based analysis of selected medicinal plants reveals substantial concordance between traditional Ayurvedic predictions and modern experimental findings. The review highlights the potential of Rasa Panchaka as a valuable predictive model for drug discovery, reverse pharmacology, and integrative healthcare research. Systematic validation of these classical concepts may facilitate the development of evidence-based Ayurvedic pharmacology and strengthen interdisciplinary scientific exploration.},
        keywords = {Rasa Panchaka; Dravyaguna; Ayurvedic Pharmacology; Medicinal Plants; Predictive Pharmacology; Integrative Medicine.},
        month = {June},
        }