Diabetes is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both. Symptoms of marked hyperglycemia include polyuria, polydipsia, polyphagia, and weight loss or gain. Based on similarities in signs and symptoms type 2 diabetes mellitus can be compared to its Madhumeha in Ayurveda. All the types of Prameha if not treated in time develop in Madhumeha. Ayurveda also believes that Madhumeha is Medodhatu dushtijanya vyadhi, underlying its connection with obesity and a sedantary lifestyle.

The key causes of Madhumeha are lack of exercise, poor dietary practices, heavy consumption of food containing Snigdha (unctuousness) and Guru (heavy) Guna and food that causes Kapha dosha vitiation. Ayurveda elaborated about Madhumeha in detail classifying it into 2 types - Santarpanottha & Apatarpanottha. The treatment modalities in Ayurveda include - Apataran, Medoghna Chikitsa, Dhatavagnideepan, Prasadan, Shaman Aushadhi, and Shodhan chikitsa.The study involves an open randomized comparative clinical study of Madhumehaher yog and Chandraprabhavati in the management of Madhumeha with special reference to Type-2 Diabetes Mellitus. Madhumehaher yog includes each 1 part: Haritaki, Bibhitaki, Amalaki, Nagjivha, Jambu, Nimba, Madhunashini, Chiraita, Kutki, Methika, Tejpatra. Chandraprabhavati includes: Chandraprabha, Vacha, Musta, Chiraita, Devdaru, Harida, Daruharidra, Ativisha, Pimpalimule, Chitrak, Trivrut, Dantimool, Ela, Tamalpatra, Twak, Vanshalochan, Dhanyak, Haritaki, Bibhitaki, Amalaki, Chavya, Vidang, Gajapippali, Suvarna Makshik, Sunthi, Marich, Pimpli, Javakhar, Sajjkshar, Saindhav, Padalavan, Bidalavan, Lohabhasma, Khadisakhar, Shilajit, Guggul.The study is carried out on 60 patients for 30 days. To evaluate the efficacy of trial drug in numerical data, Paired T-test and ordinal data Mann Whitney test. After drug and disease review collection and preparation of drug will be done, followed by drug authentication and standardization. Clinical features are taken as parameters to study drug effects and collected data will be presented. Statistical analysis and interpretation will be done.