About this Research Topic
Ethnomedicine is an invaluable source of knowledge and medicine in the treatment of diseases and disorders managed by or deprived of modern medicines. This Research Topic provides support to publish research, reviews and metanalysis studies to bring together scientifically validated oriental, traditional, complementary, native, ethnic, alternative and allied medicines for the management of diabetes and it’s complications. It will integrate current medical practices and ancient science to help bring about new therapeutic approaches for the much needed safe and effective treatment of diabetes.
This collection also welcomes clinical outcome, basic experimental and methodological studies that explore the mechanism of action, site of action, efficacy, scientific hypothesis and safety of these medicines. The use of In Silico modelling, computer aided drug designing, clinical databases and modern technologies to understand ethnomedicines will have special mention in this issue.
Potential topics of interest include the use of alternative, complementary, herbal, Ayurveda, Chinese, native, ethnic, traditional, ethnic and allied therapies relating to:
• The management of Type 1 and Type 2 diabetes
• The management of gestational diabetes
• The management of diabetes complications
• Network pharmacology (only if supported by experimental results)
• Computer aided drug design for diabetes treatment
• In Silico modelling for diabetes treatment
If a MS investigates extracts or is submitted to the section Ethnopharmacology of Front. Pharmacol., please self-assess your MS using the ConPhyMP tool (https://ga-online.org/best-practice/), and follow the standards established in the ConPhyMP statement Front. Pharmacol. 13:953205. All the manuscripts need to fully comply with the Four Pillars of Best Practice in Ethnopharmacology (you can freely download the full version here). Importantly, please ascertain that the ethnopharmacological context is clearly described (pillar 3d) and that the material investigated is characterized in detail (pillars 2 a and b) .
This collection also welcomes clinical outcome, basic experimental and methodological studies that explore the mechanism of action, site of action, efficacy, scientific hypothesis and safety of these medicines. The use of In Silico modelling, computer aided drug designing, clinical databases and modern technologies to understand ethnomedicines will have special mention in this issue.
Potential topics of interest include the use of alternative, complementary, herbal, Ayurveda, Chinese, native, ethnic, traditional, ethnic and allied therapies relating to:
• The management of Type 1 and Type 2 diabetes
• The management of gestational diabetes
• The management of diabetes complications
• Network pharmacology (only if supported by experimental results)
• Computer aided drug design for diabetes treatment
• In Silico modelling for diabetes treatment
If a MS investigates extracts or is submitted to the section Ethnopharmacology of Front. Pharmacol., please self-assess your MS using the ConPhyMP tool (https://ga-online.org/best-practice/), and follow the standards established in the ConPhyMP statement Front. Pharmacol. 13:953205. All the manuscripts need to fully comply with the Four Pillars of Best Practice in Ethnopharmacology (you can freely download the full version here). Importantly, please ascertain that the ethnopharmacological context is clearly described (pillar 3d) and that the material investigated is characterized in detail (pillars 2 a and b) .
Keywords: Alternative medicine, Complementary medicine, Phytomedicine, Phytotherapy, Herbal medicine, Ayurveda, Chinese medicine
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
