The idea of mahavisha-upvisha shodhan in agadtantra: The ancient Indian knowledge system
Downloads
Published
Keywords:
Ashtanga Yoga, Toxins, Visha, Upvisha, Shodhan, Agadtantra, Medical usage.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In contrast to other medical sciences, which only concentrate on the treatment of disorders and diseases, Ayurveda is the oldest medical science that mankind is aware of and primarily promotes good living and long life. There is proof that some Ayurvedic treatments, particularly those utilizing herbs, metals, minerals, or other substances, may carry significant hazards, such as poisoning. A component of Ashtanga Ayurveda called Agadtantra has a special place in the study of poisons and aids in shielding people from their effects. According to certain Acharyas, not all therapeutic plants are safe to use because they may contain toxic and hazardous phytoconstituents. Certain plants are poisonous, known as Visha and Upvisha. To minimize the lethal effects of visha Dravya, several purifying procedures should be carried out to lessen their harmful effects. Therefore, it is crucial to comprehend the Shodhana of Visha and Upvisha described in Ayurvedic texts. To better comprehend how to purify Vishadravya to prevent fatal effects and to boost patient confidence in Ayurveda, this page describes the ways for doing so that are referenced in Ayurvedic texts. Utilizing the purifying process, dravya, which had medical significance but was rarely utilized due to its lethal effects, began to be employed more frequently.Abstract
How to Cite
Downloads
Similar Articles
- G Vanitha, M Kasthuri, A robust feature selection approach for high-dimensional medical data classification using enhanced correlation attribute evaluation , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Sachin V. Chaudhari, Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, Vijayalakshmi P, Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- C. Premila Rosy, Clustering of cancer text documents in the medical field using machine learning heuristics , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Impregnable inventory stewardship for a closed loop supply chain besides energy usage, defective production and green investment manoeuvring pentagonal fuzzy number , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- K. Karuppiah, Asha Sundaram, Felling of trees – The judicial trends , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- K. Kalaiselvi, M. Kasthuri, Tuning VGG19 hyperparameters for improved pneumonia classification , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Priyanka, Sandeep, Tarang Shrivastava, Sandeep Kumar, Vinay Viratia, Kinesio Taping Along with PNF Stretching Improved Ankle Dorsiflexion in Children with Spastic Diplegic Cerebral Palsy , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- M. S. Rajani Kanth, P. Guru Murthy, P. Srikanth, Nature’s Management - Life beyond death , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Minas M. Ali, Fatema M. S. B Nuhed, Ibtihal Ahmed M Alsheikhoon, Kholood K. S Alhuthali, Ohood A. H Almalki, Effect of hyaluronic acid application on gingival black triangles– A systematic review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.