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Treatment of Diabetes Using Traditional Chinese Medicine: Past, Present and Future
Abstract
Diabetes is a major medical problem that imperils public health. Over two thousand years ago, Traditional Chinese Medicine (TCM) called diabetes-related symptoms "Xiaoke" disease. In ancient China, TCM and Chinese herbal medicines were used widely in treating Xiaoke and abundant experience has been accumulated. This article discusses the TCM theory on diabetes and its achievements in the prevention and treatment of diabetes in the past. Using Chinese herbal medicine, recent progress in diabetes therapeutics, including data from clinical trials, are presented. Mechanistic studies from basic research are discussed. Yin-yang balance and a holistic approach of TCM may complement diabetes treatment in Western medicine. With continuous efforts, TCM could play a more important role in fighting this disease.
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Cites
DeFronzo, R. A. (2009) · Diabetes · doi:10.2337/db09-9028 · Cited by 3,016
Cited by
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Schönthal, A. H. (2012) · Scientifica · doi:10.6064/2012/857516 · Cited by 353
What has traditional Chinese medicine delivered for modern medicine?
Wang, J., Wong, Y.-K., & Liao, F. (2018) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2018.3 · Cited by 328
Pang, B., Lian, F.-M., Zhao, X.-Y., Zhao, X.-M., Jin, D., Lin, Y.-Q., Zheng, Y.-J., Ni, Q., & Tong, X.-L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.07.020 · Cited by 32
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Metadata
- Authors
- Tong, X.-L., Dong, L., Chen, L., & Zhen, Z.
- Venue
- The American Journal of Chinese Medicine
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2012-01
- Volume
- 40
- Issue
- 05
- Pages
- 877-886
- ISSN
- 0090-2942 (ISSN-L)
- 0192-415X
- 1793-6853
- OpenAlex
- W2150377484
- Cited by
- 177
- References
- 1
- FWCI
- 8.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tong, X.-L., Dong, L., Chen, L., & Zhen, Z. (2012). Treatment of Diabetes Using Traditional Chinese Medicine: Past, Present and Future. The American Journal of Chinese Medicine. https://doi.org/10.1142/s0192415x12500656
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
