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      Clinical Application of Classic Prescription in Treating Alopecia

      research Clinical Application of Classic Prescription in Treating Alopecia

      December 2024 in “Journal of Contemporary Medical Practice”
      This paper examines six famous traditional Chinese medicine prescriptions, exploring their use in treating alopecia based on Zhang Zhongjing's texts, and aims to provide new clinical treatment ideas for hair loss.
      A Review on Tectona Grandis

      research A REVIEW ON TECTONA GRANDIS

      August 2022 in “International journal of research in pharmacy and chemistry”
      This review summarizes the chemical composition and pharmacological properties of Teak (Tectona grandis) but presents no new research findings, emphasizing its use in traditional medicine and therapeutic potentials.
      Experimental and Clinical Pharmacology of Ziziphus Jujuba Mills

      research Experimental and Clinical Pharmacology ofZiziphus jujubaMills

      31 citations , January 2017 in “Phytotherapy Research”
      This review reports on the traditional and ethnopharmacological uses of Ziziphus jujuba Mills, noting its increasing global popularity for treating various ailments, but highlights that its acceptance into the European Pharmacopoeia remains unresolved due to scientific and regulatory challenges.
      Exploring the Combination and Modular Characteristics of Herbs for Alopecia Treatment in Traditional Chinese Medicine: An Association Rule Mining and Network Analysis Study

      research Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study

      23 citations , July 2018 in “BMC Complementary and Alternative Medicine”
      This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.