The global Traditional Chinese Medicine (TCM) Constitution Identification Instrument market is experiencing robust growth, driven by the increasing adoption of TCM globally and advancements in diagnostic technologies. The market size in 2025 is estimated at $150 million, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key factors, including rising awareness of holistic healthcare approaches, increasing government support for TCM research and development in several countries, and the development of more accurate and user-friendly identification instruments. The portable type segment holds a significant market share due to its convenience and ease of use in various settings. Hospitals and clinics remain the largest application segment, but significant growth is anticipated in community health centers and enterprises focusing on employee wellness programs. Major players like Shandong Guokang Electronic Technology Co., Ltd., and Shanghai Baosongtang Biotechnology Co., Ltd., are driving innovation through technological improvements and expansion into new markets. However, high initial investment costs for advanced instruments and a lack of standardized diagnostic protocols pose challenges to market expansion. The market is segmented geographically, with Asia Pacific, particularly China, currently dominating, followed by North America and Europe. Expansion in emerging markets in Africa and South America is expected to contribute to future growth. The forecast period of 2025-2033 projects a substantial increase in market value, exceeding $450 million by 2033. This growth will be significantly influenced by the continued integration of TCM into mainstream healthcare systems worldwide and further refinement of diagnostic technologies, leading to greater accuracy and efficiency. The market will also see increased competition, with both established players and emerging companies vying for market share through product differentiation and strategic partnerships. The ongoing research and development efforts in improving the accuracy and accessibility of TCM Constitution Identification Instruments are vital factors that will sustain this market's positive trajectory in the coming years. This in-depth report provides a comprehensive analysis of the global TCM Constitution Identification Instrument market, projecting a market value exceeding $2 billion by 2028. It delves into market concentration, key trends, dominant segments, product insights, and the competitive landscape, offering invaluable insights for businesses, investors, and researchers in the Traditional Chinese Medicine (TCM) and medical technology sectors. The report utilizes rigorous data analysis and industry expertise to deliver actionable intelligence. Keywords: TCM Constitution Identification, Traditional Chinese Medicine, Medical Technology, Portable Medical Devices, Diagnostic Instruments, Healthcare Technology, Market Analysis, Market Research, Market Size, Market Forecast.

Seed is not only the main reproductive organ of most of herbal plants but also an important part of Traditional Chinese Medicine (TCM). Seed TCMs possess important medicinal properties and have been widely used as components of pharmaceutical products. In parallel with the increasing popularity and accessibility of seeds as medicinal products in recent years, numerous substitutes and adulterants have also appeared on the market. Due to the small volume and similar appearances of many seed TCMs, they are very difficult to accurately identify the constituent plant species through organoleptic methods. Usage of the wrong herb may be ineffective or may worsen the condition and even cause death. Correct identification of seed herbal medicines is therefore essential for their safe use. Here, we acquired 177 ITS2 sequences and 15 psbA-trnH sequences from 51 kinds of seed TCMs belonging to 64 species that have been described in the Chinese Pharmacopoeia. Tree-building analysis showed that the ITS2 sequences of 48 seed TCMs can be differentiated from each other, and they formed distinct, non-overlapping groups in the maximum-likelihood tree. Furthermore, all of the sequences acquired in this study have been submitted to the public DNA barcoding system for herbal medicine, and this integrated database was used to identify 400 seed TCM samples purchased from medicinal markets, drug stores, and the Internet, enabling the identification of 7.5% of the samples as containing non-declared species. This study provides a brief operating procedure for the identification of seed TCMs found in herbal medicine. In the future, researchers and traditional herbal medicine enterprises can use this system to test their herbal materials.

China exported a total value of 5.46 billion U.S. dollars of traditional Chinese medicine (TCM) products in 2023, demonstrating a slight drop from the previous years. Plant extract was the most important TCM product exported in 2023, representing around 60 percent of the total export value.

Data source: Insurance medical service organization medical service point declaration data. Numerator: The number of patients with two or more medical visit visits categorized by the medical institution, patient code, and visit date. Denominator: The number of patients categorized by the medical institution, patient ID, and visit date.

jili/tcm dataset hosted on Hugging Face and contributed by the HF Datasets community

Background: Pregnancy-induced Hypertension (PIH) is a disease that causes serious maternal and fetal morbidity and mortality. Alisma Orientale (AO) has a long history of use as traditional Chinese medicine therapy for PIH. This study explores its potential mechanism and biosafety based on network pharmacology, network toxicology, molecular docking and molecular dynamics simulation.Methods: Compounds of AO were screened in TCMSP, TCM-ID, TCM@Taiwan, BATMAN, TOXNET and CTD database; PharmMapper and SwissTargetPrediction, GeneCards, DisGeNET and OMIM databases were used to predict the targets of AO anti-PIH. The protein-protein interaction analysis and the KEGG/GO enrichment analysis were applied by STRING and Metascape databases, respectively. Then, we constructed the “herb-compound-target-pathway-disease” map in Cytoscape software to show the core regulatory network. Finally, molecular docking and molecular dynamics simulation were applied to analyze binding affinity and reliability. The same procedure was conducted for network toxicology to illustrate the mechanisms of AO hepatotoxicity and nephrotoxicity.Results: 29 compounds with 78 potential targets associated with the therapeutic effect of AO on PIH, 10 compounds with 117 and 111 targets associated with AO induced hepatotoxicity and nephrotoxicity were obtained, respectively. The PPI network analysis showed that core therapeutic targets were IGF, MAPK1, AKT1 and EGFR, while PPARG and TNF were toxicity-related targets. Besides, GO/KEGG enrichment analysis showed that AO might modulate the PI3K-AKT and MAPK pathways in treating PIH and mainly interfere with the lipid and atherosclerosis pathways to induce liver and kidney injury. The “herb-compound-target-pathway-disease” network showed that triterpenoids were the main therapeutic compounds, such as Alisol B 23-Acetate and Alisol C, while emodin was the main toxic compounds. The results of molecular docking and molecular dynamics simulation also showed good binding affinity between core compounds and targets.Conclusion: This research illustrated the mechanism underlying the therapeutic effects of AO against PIH and AO induced hepato-nephrotoxicity. However, further experimental verification is warranted for optimal use of AO during clinical practice.

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

IntroductionHepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide. Traditional Chinese Medicine (TCM) is widely utilized as an adjunct therapy, improving patient survival and quality of life. TCM categorizes HCC into five distinct syndromes, each treated with specific herbal formulae. However, the molecular mechanisms underlying these treatments remain unclear.MethodsWe employed a network medicine approach to explore the therapeutic mechanisms of TCM in HCC. By constructing a protein-protein interaction (PPI) network, we integrated genes associated with TCM syndromes and their corresponding herbal formulae. This allowed for a quantitative analysis of the topological and functional relationships between TCM syndromes, HCC, and the specific formulae used for treatment.ResultsOur findings revealed that genes related to the five TCM syndromes were closely associated with HCC-related genes within the PPI network. The gene sets corresponding to the five TCM formulae exhibited significant proximity to HCC and its related syndromes, suggesting the efficacy of TCM syndrome differentiation and treatment. Additionally, through a random walk algorithm applied to a heterogeneous network, we prioritized active herbal ingredients, with results confirmed by literature.DiscussionThe identification of these key compounds underscores the potential of network medicine to unravel the complex pharmacological actions of TCM. This study provides a molecular basis for TCM’s therapeutic strategies in HCC and highlights specific herbal ingredients as potential leads for drug development and precision medicine.

启古纳今，厚德精术

  数据介绍







  非网络来源的高质量中医数据集-指令微调







  High-Quality Traditional Chinese Medicine Dataset from Non-Internet Sources - SFT/IFT

该数据集经过大量人力和资源的投入精心构建，以共建LLM高质量中文社区为己任。 包含约1GB的中医各个领域临床案例、名家典籍、医学百科，名词解释等优质问答内容，涵盖全面，配比均衡。 数据集主要由非网络来源的内部数据构成，并99%为简体中文内容，内容质量优异，信息密度可观。 该数据集的数据源与SylvanL/Traditional-Chinese-Medicine-Dataset-Pretrain中的内容存在一定关联，但不高度重叠。 在二者的构建过程中，存在着一定的循序渐进与互为补充的逻辑. 该数据集可以独立使用，但建议先使用配套的预训练数据集对模型进行继续预训练后，再使用该数据集进行进一步的指令微调。… See the full description on the dataset page: https://huggingface.co/datasets/SylvanL/Traditional-Chinese-Medicine-Dataset-SFT.

DragonTCM Dataset

  Dataset Description





  Overview

DragonTCM is a comprehensive Traditional Chinese Medicine (TCM) knowledge base derived from the American Dragon website (www.americandragon.com) and the foundational work of Dr. Joel Penner. The dataset captures the complex relationships between TCM conditions, herbal formulas, and individual herbs, making it valuable for both research and educational purposes in traditional medicine. This dataset is an incomplete… See the full description on the dataset page: https://huggingface.co/datasets/f-galkin/DragonTCM.

BackgroundMost guidelines on insomnia focus more on the treatment of patients after the onset of the illness, with little elaboration on prevention before the onset of the illness. In particular, treatment of insomnia disorder using TCM preventive treatment is rarely mentioned. Therefore, to improve the rehabilitation and quality of life of patients with insomnia disorder and its high-risk groups, the Affiliated TCM Hospital of Guangzhou Medical University and the Institute of Acupuncture and Moxibustion, CACMS have jointly initiated the compilation of the “Practice guideline for TCM preventive treatment of Insomnia disorder”.MethodsThe guideline will adhere to the principles outlined in WHO Handbook for Guidelines Development, 2nd Edition by the World Health Organization and the Guidelines for the Development of Traditional Chinese Medicine by the Chinese Society of Traditional Chinese Medicine. The quality of evidence and strength of recommendations will be based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The key steps in developing the guideline include: (1) Establishing Guideline Project Group; (2) Conflict of interest management; (3) Research, Selection and Identification of Clinical Questions; (4) Evidence search and evaluation; (5) Quality and grading of evidence; (6) Decision Table for Forming Recommendations; (7) Recommendation Consensus and Determination; (8) Writing the first draft of the guideline; (9) Peer review.DiscussionBased on the theoretical system of “TCM preventive treatment” of Chinese medicine this guideline is to construct a three-tier preventive framework. The development of this guideline can systematically integrate the characteristic techniques of TCM, such as physical identification, emotional regulation, acupuncture and massage, with the evidence-based evidence of modern sleep medicine, and build a new management model.ConclusionThis guideline will serve as an evidence-based reference for standardized TCM preventive treatment methods, promoting the standardization and normative application of TCM preventive treatment in insomnia disorder. Ultimately, this guideline aims to improve the rehabilitation level and life quality of individuals with insomnia disorder and those at high risk of the disease.Clinical trial registrationhttp://www.guidelines-registry.org/,identifierPREPARE-2023CN517.

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

2419 Global export shipment records of Tcm with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Traditional Chinese Medicine (TCM) Constitution Identification System market is a vital segment within the holistic health sector, rooted in centuries of medical philosophy that emphasizes the unique constitutional types of individuals. This innovative system identifies individuals' TCM constitutions-such as Yin

TCM survey questions

Forecast: Traditional Chinese Medicine Production in China 2022 - 2026 Discover more data with ReportLinker!

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

Background: Osteoporosis is a prevalent bone metabolism disease characterized by a reduction in bone density, leading to several complications that significantly affect patients’ quality of life. The Achyranthes bidentata–Dipsacus asper (AB–DA) herb pair is commonly used in Traditional Chinese Medicine (TCM) to treat osteoporosis. This study aimed to investigate the therapeutic compounds and potential mechanisms of AB–DA using network pharmacology, molecular docking, molecular dynamics simulation, and experimental verification.Methods: Identified compounds of AB–DA were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Traditional Chinese Medicine Information Database (TCM-ID), TCM@Taiwan Database, BATMAN-TCM, and relevant literature. The main bioactive ingredients were screened based on the criteria of “OB (oral bioavailability) ≥ 30, DL (drug-likeness) ≥ 0.18.” Potential targets were predicted using the PharmMapper and SwissTargetPrediction websites, while disease (osteoporosis)-related targets were obtained from the GeneCards, DisGeNET, and OMIM databases. The PPI network and KEGG/GO enrichment analysis were utilized for core targets and pathway screening in the STRING and Metascape databases, respectively. A drug–compound–target–pathway–disease network was constructed using Cytoscape software to display core regulatory mechanisms. Molecular docking and dynamics simulation techniques explored the binding reliability and stability between core compounds and targets. In vitro and in vivo validation experiments were utilized to explore the anti-osteoporosis efficiency and mechanism of sitogluside.Results: A total of 31 compounds with 83 potential targets for AB–DA against osteoporosis were obtained. The PPI analysis revealed several hub targets, including AKT1, CASP3, EGFR, IGF1, MAPK1, MAPK8, and MAPK14. GO/KEGG analysis indicated that the MAPK cascade (ERK/JNK/p38) is the main pathway involved in treating osteoporosis. The D–C–T–P–T network demonstrated therapeutic compounds that mainly consisted of iridoids, steroids, and flavonoids, such as sitogluside, loganic acid, and β-ecdysterone. Molecular docking and dynamics simulation analyses confirmed strong binding affinity and stability between core compounds and targets. Additionally, the validation experiments showed preliminary evidence of antiosteoporosis effects.Conclusion: This study identified iridoids, steroids, and flavonoids as the main therapeutic compounds of AB–DA in treating osteoporosis. The underlying mechanisms may involve targeting core MAPK cascade (ERK/JNK/p38) targets, such as MAPK1, MAPK8, and MAPK14. In vivo experiments preliminarily validated the anti-osteoporosis effect of sitogluside. Further in-depth experimental studies are required to validate the therapeutic value of AB–DA for treating osteoporosis in clinical practice.