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1

Xue, Charlie Changli, and David Story. "Chinese Medicine in Australia." Asia-Pacific Biotech News 08, no. 23 (December 2004): 1252–56. http://dx.doi.org/10.1142/s0219030304002137.

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2

Janovská, D., K. Kubíková, and L. Kokoška. "Screening for antimicrobial activity of some medicinal plants species of traditional Chinese medicine." Czech Journal of Food Sciences 21, No. 3 (November 18, 2011): 107–10. http://dx.doi.org/10.17221/3485-cjfs.

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The antimicrobial activity of crude ethanolic extracts of 10 medicinal plants used in traditional Chinese medicine was tested against five species of microorganisms: Bacillus cereus, Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans. Of the 10 plants tested, 5 showed antimicrobial activity against one or more species of microorganisms. The most active antimicrobial plants were Chelidonium majus, Sanguisorba officinalis, and Tussilago farfara.  
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Yang, Bo, Yun Xie, Maojuan Guo, Mitchell H. Rosner, Hongtao Yang, and Claudio Ronco. "Nephrotoxicity and Chinese Herbal Medicine." Clinical Journal of the American Society of Nephrology 13, no. 10 (April 3, 2018): 1605–11. http://dx.doi.org/10.2215/cjn.11571017.

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Chinese herbal medicine has been practiced for the prevention, treatment, and cure of diseases for thousands of years. Herbal medicine involves the use of natural compounds, which have relatively complex active ingredients with varying degrees of side effects. Some of these herbal medicines are known to cause nephrotoxicity, which can be overlooked by physicians and patients due to the belief that herbal medications are innocuous. Some of the nephrotoxic components from herbs are aristolochic acids and other plant alkaloids. In addition, anthraquinones, flavonoids, and glycosides from herbs also are known to cause kidney toxicity. The kidney manifestations of nephrotoxicity associated with herbal medicine include acute kidney injury, CKD, nephrolithiasis, rhabdomyolysis, Fanconi syndrome, and urothelial carcinoma. Several factors contribute to the nephrotoxicity of herbal medicines, including the intrinsic toxicity of herbs, incorrect processing or storage, adulteration, contamination by heavy metals, incorrect dosing, and interactions between herbal medicines and medications. The exact incidence of kidney injury due to nephrotoxic herbal medicine is not known. However, clinicians should consider herbal medicine use in patients with unexplained AKI or progressive CKD. In addition, exposure to herbal medicine containing aristolochic acid may increase risk for future uroepithelial cancers, and patients require appropriate postexposure screening.
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Shi, Yucong, Dan Chen, Shengsuo Ma, Huachong Xu, and Li Deng. "Identification of Potential Biomarkers of Depression and Network Pharmacology Approach to Investigate the Mechanism of Key Genes and Therapeutic Traditional Chinese Medicine in the Treatment of Depression." Evidence-Based Complementary and Alternative Medicine 2021 (December 31, 2021): 1–14. http://dx.doi.org/10.1155/2021/2165632.

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Background. To explore the potential target of depression and the mechanism of related traditional Chinese medicine in the treatment of depression. Method. Differential gene expression in depression patients and controls was analyzed in the GEO database. Key genes for depression were obtained by searching the disease databases. The COREMINE Medical database was used to search for Chinese medicines corresponding to the key genes in the treatment of depression, and the network pharmacological analysis was performed on these Chinese medicines. Then, protein-protein interaction analysis was conducted. Prediction of gene phenotypes was based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment scores. Results. The total number of differentially expressed genes in the GEO database was 147. Combined with the GEO dataset and disease database, a total of 3533 depression-related genes were analyzed. After screening in COREMINE Medical, it was found that the top 4 traditional Chinese medicines with the highest frequency for depression were Paeonia lactiflora Pall., Crocus sativus L., Bupleurum chinense DC., and Cannabis sativa L. The compound target network consisted of 24 compounds and 138 corresponding targets, and the key targets involved PRKACA, NCOA2, PPARA, and so on. GO and KEGG analysis revealed that the most commonly used Chinese medicine could regulate multiple aspects of depression through these targets, related to metabolism, neuroendocrine function, and neuroimmunity. Prediction and analysis of protein-protein interactions resulted in the selection of nine hub genes (ESR1, HSP90AA1, JUN, MAPK1, MAPK14, MAPK8, RB1, RELA, and TP53). In addition, a total of four ingredients (petunidin, isorhamnetin, quercetin, and luteolin) from this Chinese medicine could act on these hub genes. Conclusions. Our research revealed the complicated antidepressant mechanism of the most commonly used Chinese medicines and also provided a rational strategy for revealing the complex composition and function of Chinese herbal formulas.
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Esposito, Bruce J., Manfred Porkert, Christian Ullman, and Mark Howson. "Chinese Medicine." Pacific Affairs 62, no. 2 (1989): 246. http://dx.doi.org/10.2307/2760588.

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6

Ahmed, Bilal, and Aatiqa Ali. "Usage of traditional Chinese medicine, Western medicine and integrated Chinese-Western medicine for the treatment of allergic rhinitis." Science Progress and Research 1, no. 1 (January 1, 2021): 1–10. http://dx.doi.org/10.52152/spr/2021.101.

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The research examines the differences between populations and medical applications of allergic rhinitis patients who received all three treatments to determine the use of different drugs. Methods: The inventory for patients diagnosed with allergic rhinitis (International Disease Classification). The Chi-square test and Tukey test were performed for the region of interest to check the disparity between these three treatments (a significant difference still exists). The interview rate for women with allergic rhinitis is higher than for men regardless of whether it is treatment with traditional Chinese medicine, Western or combined traditionalChinese and Western medicine.Traditional Chinese medicine includes medical measures with maximum hours per person, the daily cost per hour of medicines and minimum overall hourly expenditure. Western medicine, by comparison, costs the lowest daily drug per hour, and the highest total drug costs per hour per person. Between traditional Chinese and western medicine, the total cost per capita of integrated traditional Chinese and Western Medicine as well as drug costs per capita and the total cost per capita. Although only 6.82% of allergic rhinitis patients opt for combinedtraditional Chinese medicines and western medicine, their rate of receipt is higher each year.
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Liu, Shihui, Toshihiko Matsuo, Chie Matsuo, and Takumi Abe. "Traditional Chinese Medicines and Prescriptions Brought from China to Japan by a Monk (Jianzhen, Japanese: Ganjin): A Historical Review." Compounds 2, no. 4 (October 18, 2022): 267–84. http://dx.doi.org/10.3390/compounds2040022.

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(1) Background: Japanese Kampo medicine has its origin in ancient Chinese medicine. In 742, a Tang Dynasty monk named Jianzhen (Ganjin) was invited by Japanese clerics to visit Japan and teach commandments in Buddhism. Because of the dangers of the voyage and also other obstacles, he took 11 years to reach Japan on the sixth voyage and he was blind when he arrived in Japan. He was the first person in China to go to Japan to establish the Buddhism commandments, and he was also the first person in Japan to directly teach traditional Chinese medicine. Until now, there have been few reports in English about the details of the Chinese herbal medicines he brought to Japan, including the types of herbal medicines, pharmacological activities, and formulations. In the review, we systematically and comprehensively summarized Jianzhen’s life from the standpoint of his medical and pharmaceutical knowledge and the types and pharmacological activities of Chinese herbal medicines and prescriptions that were brought to Japan by Jianzhen; (2) Methods: A review was made on the relevant literature written by Chinese, Japanese, and English languages regarding the medical and pharmacological knowledge of Jianzhen, the 36 Chinese herbal medicines brought to Japan by Jianzhen, and the pharmacological and therapeutic effects of these 36 herbal medicines, as well as their formulations; (3) Results: The review of the literature proved that Jianzhen’s prescriptions served as a basis for current herbal medicines (Kampo) in Japan. In the process of the literature search, we found a book entitled Jianshangren (Holy Priest Jianzhen)’s Secret Prescription, which recorded the complete prescription of the 36 traditional Chinese medicines Jianzhen brought to Japan; (4) Conclusions: Jianzhen is one of the ancestors of traditional Chinese medicine/Kampo medicine, and he brought traditional Chinese medicine and medical books to Japan for patients. He made important contributions to the development of traditional Chinese medicine in Japan.
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8

Li, Lu, Ping Chung Leung, Tony Kwok Hung Chung, and Chi Chiu Wang. "Systematic Review of Chinese Medicine for Miscarriage during Early Pregnancy." Evidence-Based Complementary and Alternative Medicine 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/753856.

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Background. Miscarriage is a very common complication during early pregnancy. So far, clinical therapies have limitation in preventing the early pregnancy loss. Chinese Medicine, regarded as gentle, effective, and safe, has become popular and common as a complementary and alternative treatment for miscarriages. However, the evidence to support its therapeutic efficacy and safety is still very limited.Objectives and Methods. To summarize the clinical application of Chinese Medicine for pregnancy and provide scientific evidence on the efficacy and safety of Chinese medicines for miscarriage, we located all the relevant pieces of literature on the clinical applications of Chinese Medicine for miscarriage and worked out this systematic review.Results. 339,792 pieces of literature were identified, but no placebo was included and only few studies were selected for systematic review and conducted for meta-analysis. A combination of Chinese medicines and Western medicines was more effective than Chinese medicines alone. No specific safety problem was reported, but potential adverse events by certain medicines were identified.Conclusions. Studies vary considerably in design, interventions, and outcome measures; therefore conclusive results remain elusive. Large scales of randomized controlled trials and more scientific evidences are still necessary to confirm the efficacy and safety of Chinese medicines during early pregnancy.
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9

Dong, Jingcheng, Linwei Lu, Jingjing Le, Chen Yan, Hongying Zhang, and Lulu Li. "Philosophical thinking of Chinese Traditional Medicine." Traditional Medicine and Modern Medicine 01, no. 01 (March 2018): 1–10. http://dx.doi.org/10.1142/s2575900018100018.

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Traditional medicine is often an integration of ancient philosophy, clinical experiences, primitive knowledge of medicine, regional cultures and religious beliefs. Chinese Traditional Medicine (CTM) is the general appellation of all the traditional medicines of different ethnicities in China, which share great similarities of basic concept and philosophical basis, and conform to the development of empirical medicine, among which the medicine of Han ethnicity (Han medicine) is the most mature. The development of CTM is totally different from that of modern medicine, always revolving around the center of disease diagnosis and treatment, establishing the core theoretical system of Yin and Yang, Five Elements, Zang and Fu and Humoralism with the theoretical foundation of ancient Chinese philosophy, which represents the highest achievement of worldwide empirical medicine and philosophy form at that time. In general, the basic structure of CTM mainly consists of three parts as follows: the part that has already reached consensus with modern medicine, the part that is unconsciously ahead of modern medicine, and the part that needs to be reconsidered or abandoned.
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10

Minari, Yoshimi, Noritaka Tokui, Gen Sheng Zhu, and Xin Guo. "Chinese medicine and Chinese medicated diet." Journal for the Integrated Study of Dietary Habits 12, no. 2 (2001): 109–14. http://dx.doi.org/10.2740/jisdh.12.109.

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11

Zheng, Anwen. "Chinese idioms and traditional chinese medicine." Chinese Medicine and Culture 1, no. 2 (2018): 79. http://dx.doi.org/10.4103/cmac.cmac_15_18.

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12

Zhang, Aihua, Guangli Yan, Ying Han, Hui Sun, and Xijun Wang. "OPPORTUNITIES AND CHALLENGES OF TRADITIONAL CHINESE MEDICINE IN COMING ERA OF PRECISION MEDICINE." Amur Medical Journal, no. 3 (2017): 12. http://dx.doi.org/10.22448/amj.2017.3.12-12.

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13

Li, Peiyi. "Precision Medicine in Chinese Medicine." Highlights in Science, Engineering and Technology 8 (August 17, 2022): 406–11. http://dx.doi.org/10.54097/hset.v8i.1185.

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This article attempts to demonstrate the scientificity and clinical practicability of the meridian and acupoint system in Chinese medicine by explaining the analogy of the meridian and acupoint system, in addition to some experimental results of the biomedical engineering of Western medicine. Precision medicine in Chinese medicine is accomplished through the coordinated operation of the neurohumoral regulation system, the cell transduction system and the meridian system. Appropriate stimulation of acupoints on the human body can trigger certain targets in the body and produce the desired response, such as anti-inflammatory reactions or pro-inflammatory reactions. It can also change the homeostasis of the human body's internal environment, including endocrine, physiological, pathological, psychological and cellular states by controlling body temperature regulation within a certain range. There are many functions of meridians. In fact, the meridian system can not only respond to acupuncture stimuli, but also transmit the effects of drugs to the target. Different acupoints on the surface of the human body have the same or different functions, and through the transduction of the meridian system, the local targets or all of the body will produce the same or different responses. Several experiments with acupuncture and other mechanical stimuli have confirmed the existence of this fact. But the experiment can only show a small part of the full function of acupuncture. The functions of various acupoints are equivalent to the functions of receptors, channels, ion pumps and other structures on the cell membrane. It is just that there are macro and micro differences in the form of expression. Intracellular and extracellular signal transduction, cascade reactions, and neurohumoral regulation are closely related to the meridian system.
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14

Long, Chang Jiang, Peng Wan, and Xuan Li. "Traditional Chinese Medicine Clustering Analysis Based on Near-Infrared Spectroscopy." Applied Mechanics and Materials 239-240 (December 2012): 219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.219.

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The Chinese materia medica is classified into several categories according to the major treatment function by experience in the traditional Chinese Medicine. This classification should have material basis. As the medicines have so many ingredients, it is hard to only use the chemical methods and biochemistry methods to analyze the Chinese materia medica. Near infrared spectroscopy is a nondestructive testing method and it can provide structural information of organic molecules which are the main effective components of the Chinese materia medica. We firstly get the NIR spectrum of some Chinese medicine, and then use LSA technology to process the data and cluster them. The result is quite coincident with the Chinese traditional medicine classification.
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15

Rajurkar, Savita. "Classification of International Journal of Pharmacognosy and Chinese Medicine." International Journal of Pharmacognosy & Chinese Medicine 5, no. 1 (2021): 1–2. http://dx.doi.org/10.23880/ipcm-16000215.

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Intervention of Covid 2019 Vaccine has been a great achievement of the biomedical science in the direction of reversing the upsurge of the life-threatening pandemic. However, the Globe is shaky. One medical killer after another has made living difficult. Corona 2019 Pandemic has been covering the world under its death shadows for more than a year. In the light of the scenario and impact of pandemic being dominant on the medically weaker group of individuals, realization of prioritization of sustainable health is evident
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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1381 (December 2011): 29. http://dx.doi.org/10.2165/00128415-201113810-00107.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1392 (March 2012): 44. http://dx.doi.org/10.2165/00128415-201213920-00148.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1392 (March 2012): 44. http://dx.doi.org/10.2165/00128415-201213920-00149.

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19

Sappol, Michael, Vivienne Lo, and Penelope Barrett. "Imagining Chinese Medicine." Asian Medicine 15, no. 2 (February 17, 2021): 327–38. http://dx.doi.org/10.1163/15734218-12341476.

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Abstract Asian Medicine is inaugurating a new type of article in this issue, the book review forum. For our launch of this new format, we have invited an extended review of a recently published landmark volume in our field and a response to the review from the volume editors.
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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1410 (July 2012): 36. http://dx.doi.org/10.2165/00128415-201214100-00121.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1316 (August 2010): 44. http://dx.doi.org/10.2165/00128415-201013160-00144.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1317 (September 2010): 42–43. http://dx.doi.org/10.2165/00128415-201013170-00144.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1325 (October 2010): 30. http://dx.doi.org/10.2165/00128415-201013250-00112.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1333 (January 2011): 36. http://dx.doi.org/10.2165/00128415-201113330-00117.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1335 (January 2011): 41–42. http://dx.doi.org/10.2165/00128415-201113350-00151.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1351 (May 2011): 43. http://dx.doi.org/10.2165/00128415-201113510-00152.

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NESTLER, GARY, and MICHAEL DOVEY. "Traditional Chinese Medicine." Clinical Obstetrics and Gynecology 44, no. 4 (December 2001): 801–13. http://dx.doi.org/10.1097/00003081-200112000-00018.

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Rosenberg, Z'ev. "Traditional Chinese Medicine." Integrative Cancer Therapies 2, no. 1 (March 2003): 83–85. http://dx.doi.org/10.1177/1534735403002001011.

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Scheid, Volker. "Transmitting Chinese Medicine." Asian Medicine 8, no. 2 (August 18, 2013): 299–360. http://dx.doi.org/10.1163/15734218-12341319.

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Tang, Jin-Ling, Bao-Yan Liu, and Kan-Wen Ma. "Traditional Chinese medicine." Lancet 372, no. 9654 (December 2008): 1938–40. http://dx.doi.org/10.1016/s0140-6736(08)61354-9.

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31

Nestler, Gary. "Traditional Chinese medicine." Medical Clinics of North America 86, no. 1 (January 2002): 63–73. http://dx.doi.org/10.1016/s0025-7125(03)00072-5.

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32

Wadlow, Geoffrey. "Traditional Chinese medicine." Complementary Therapies in Medicine 1, no. 3 (July 1993): 146–47. http://dx.doi.org/10.1016/0965-2299(93)90009-3.

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Hua Chen, Jing, and Kim Jobst. "Traditional Chinese Medicine." Complementary Therapies in Medicine 2, no. 3 (July 1994): 138–39. http://dx.doi.org/10.1016/0965-2299(94)90113-9.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1425 (October 2012): 35–36. http://dx.doi.org/10.2165/00128415-201214250-00123.

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&NA;. "Traditional Chinese medicine." Reactions Weekly &NA;, no. 1428 (November 2012): 36–37. http://dx.doi.org/10.2165/00128415-201214280-00131.

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Kong, Jin-Ming, Kok-Siang Tan, Ngoh-Khang Goh, and Lian-Sai Chia. "TRADITIONAL CHINESE MEDICINE." Asia-Pacific Biotech News 08, no. 23 (December 2004): 1244–51. http://dx.doi.org/10.1142/s0219030304001922.

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Farquhar, Judith. "Eating Chinese Medicine." Cultural Anthropology 9, no. 4 (November 1994): 471–97. http://dx.doi.org/10.1525/can.1994.9.4.02a00020.

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38

Drew, Anna, Ian M. Whyte, Andrew H. Dawson, Alan Benoussan, and Stephen P. Myers. "Chinese Herbal Medicine." Australian Journal of Hospital Pharmacy 30, no. 2 (April 2000): 71–72. http://dx.doi.org/10.1002/jppr200030271a.

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Wang, Zimu. "Research on the Development of Chinese Medicine and Its Impact on the Environment." SHS Web of Conferences 144 (2022): 01005. http://dx.doi.org/10.1051/shsconf/202214401005.

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Traditional Chinese medicine has been among the two major drug systems in the world since ancient times and has played a very important role in the medical industry. With the development of traditional Chinese medicine, while the efficacy of medicine has been improved, it has gradually had a huge impact on the surrounding environment. The reduction of environmental quality not only affects the quality of traditional Chinese medicine but also causes harm to other organisms. Therefore, it is extremely important to improve the production methods of traditional Chinese medicine. Based on the different production methods of different types of traditional Chinese medicines, the improvement methods are also different. This paper mainly studies the influence of environmental factors on the quality of Chinese herbal medicine and the influence of the industrialization of modern Chinese medicine on the surrounding environment and the solutions. By referring to the relevant literature on traditional Chinese medicine, the problems existing in the whole process from raw materials to the processing of traditional Chinese medicine are analyzed to find corresponding solutions. Through the research of this paper, it is found that although traditional Chinese medicine has some influence on the surrounding environment in the process of industrialization, the improvement of the curative effect of the medicine is still obvious, and it has made a huge contribution to the improvement of the national health level.
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Luo, Yun, Chong-Zhi Wang, Julia Hesse-Fong, Jaung-Geng Lin, and Chun-Su Yuan. "Application of Chinese Medicine in Acute and Critical Medical Conditions." American Journal of Chinese Medicine 47, no. 06 (January 2019): 1223–35. http://dx.doi.org/10.1142/s0192415x19500629.

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Western medicine is routinely used in developed nations as well as in Eastern countries, where traditional medicine is frequently used by a selection of patients or family member as a complement to mainstream Western medicine. Chinese medicine plays an important role in the treatment of chronic diseases, especially when Western medicine is not very effective. Many published reports have shown that Chinese medicine could also be successfully used in the management of acute and critical illnesses. Chinese medicine has a holistic view of the human body, and emphasizes individualization based on body balance and mind–body interaction and employs herbal medicines and acupuncture. This review paper gives a brief overview of Chinese medicine theory and therapeutic modality and then addresses the application of Chinese medicine in the treatment of acute and critical medical conditions, including epidemics. Using this ancient therapy as a complementary medicine, the management of serious medical conditions, such as SARS, acute heart diseases, and ischemic cerebral stroke, are presented. In order to promote more widespread application of Chinese medicine, well-designed controlled clinical trials are urgently needed to prove its safety and effectiveness.
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Shi, Xuefeng, Dawei Zhu, Stephen Nicholas, Baolin Hong, Xiaowei Man, and Ping He. "Is Traditional Chinese Medicine “Mainstream” in China? Trends in Traditional Chinese Medicine Health Resources and Their Utilization in Traditional Chinese Medicine Hospitals from 2004 to 2016." Evidence-Based Complementary and Alternative Medicine 2020 (May 31, 2020): 1–8. http://dx.doi.org/10.1155/2020/9313491.

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Background. Traditional, complementary, and alternative medicine (TCAM) has attracted increasing attention in developed countries, but its mainstream status in China, the home of TCAM, is unclear. Over the period of 2004–2016, we analyze the health resources and health resource utilization of traditional medicine in traditional Chinese medicine (TCM) hospitals in China. Methods. Over 2004–2016, we obtained data from all TCM hospitals in all Chinese provinces to create a hospital-based, longitudinal dataset. TCM health resources and their utilization were measured by two outcome variables: (1) primary outcome variables comprising the proportion of TCM physicians, TCM pharmacists, revenue from TCM drugs, and TCM prescriptions and (2) the secondary outcome variables, as proxies of westernization for TCM hospitals, comprising the number of medical equipment above RMB 10,000 and the proportion of surgery in inpatient visits. We used linear regression models with hospital-fixed effects to analyze time trends for the outcome variables. Results. The number of public TCM hospitals remained stable from 2004 to 2016, while the number of private TCM hospitals increased from 294 in 2004 to 1560 in 2016. There was a small percentage increase in the proportion of TCM physicians (0.280%), TCM pharmacists (0.298%), and revenue from Chinese medicines (0.331%) and TCM prescriptions (1.613%) per hospital per year. Chinese drugs accounted for less than a half of the total drug prescriptions, and accordingly, just one-third of the drug revenue was from Chinese medicines at TCM hospitals. The proportions of physicians, pharmacists, revenue from Chinese drug sales, and traditional medicine prescriptions never reach the 60% benchmark target for mainstream in TCM hospitals. As proxies for Western medicine practices in TCM hospitals, the number of medical equipment above RMB 10,000 rapidly rose by over 13 percent per hospital per year, but the proportion of inpatient surgeries declined by 0.830 percentage points per hospital per year, reflecting a mixed trend in the use of Western medicine practices. Conclusion. For the 2004–2016 period, traditional medicine, although making progress towards the mainstream benchmark of 60% TCM services, was still not mainstream at TCM hospitals.
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Ai, Ke, Ding Yuan, and Jie Zheng. "Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine." Computational and Mathematical Methods in Medicine 2022 (February 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/3010901.

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Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. Therefore, humans have been working hard to combat gastric cancer. At present, the most commonly used treatment method is radiotherapy. However, this method will damage the normal tissues of the irradiated area while treating malignant tumor cells. It not only has side effects of damage to the patient’s skin and mucous membranes but also needs high-rate radiotherapy and has high cost for chemotherapy. In order to solve these problems, it is necessary to find new treatment methods. This article proposes the use of Chinese medicine to invigorate the spleen to inhibit human gastric cancer cells. This article combines modern machine learning technology with traditional Chinese medicine and combines traditional Chinese medicine physiotherapy with Western medicine nude mouse transplantation experiments. The treatment of tumors in Chinese medicine is based on the theory of Chinese medicine and has different characteristics. Western medicine has the advantage of permanently injuring patients. The process of the experiment is to transplant human-derived gastric cancer cells into nude mice. After grouping treatments and obtaining comparative data, deep learning techniques are used to analyze the properties of Chinese medicines for strengthening the spleen and to compare the properties of Chinese medicines for strengthening the spleen. The experimental results showed that the tumor inhibition rate of mice using fluorouracil was 18%, the tumor inhibition rate of mice using low-dose Chinese medicine was 16%, and the tumor inhibition rate of mice using high-dose Chinese medicine reached 52%. 80 days after the experiment, the survival rate of mice using high-dose Chinese medicine is 100% higher than that of mice without treatment.
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Yu, Ao, David Adelson, and David Mills. "Chinese Herbal Medicine Versus Other Interventions in the Treatment of Type 2 Diabetes." Journal of Evidence-Based Integrative Medicine 23 (January 1, 2018): 2515690X1878151. http://dx.doi.org/10.1177/2515690x18781519.

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Diabetes affects 422 million people and directly caused 4.9 million deaths according to the global report on diabetes in 2014. Type 2 diabetes accounts for 90% of people with diabetes around the world. Chinese herbal medicine treatment for diabetes has more than 2000-year history in China. An increasing number of people around the world are trying to manage type 2 diabetes with Chinese herbal medicine. However, there is a lack of evidence to decide if Chinese herbal medicine is effective and safe when compared with other interventions for the treatment of type 2 diabetes We identified 58 randomized controlled trials involving 6637 participants with type 2 diabetes with trial periods lasting from 8 weeks to 1 year (average 12 weeks). We extracted data following a predefined hierarchy. A total of 132 different Chinese herbal medicines were examined. We included studies comparing Chinese herbal medicine with other interventions and excluded trials that did not satisfy the inclusion criteria. We evaluated primary outcomes of trials in accordance with the Cochrane Handbook for Systematic Reviews of Intervention. Fifty-six out of 58 studies reported evidence that Chinese herbal medicines were effective at controlling blood sugar, insulin resistance, and traditional Chinese medicine clinical symptoms for patients with type 2 diabetes. And outcome variables are summarized. However, the evidence is limited because of the quality of the studies. Well-designed long-term studies with large samples and multiple centers as well as standardization and quality control will be required to determine if Chinese herbal medicine treatment is effective and safe for type 2 diabetes.
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Han, Ke, Lei Zhang, Miao Wang, Rui Zhang, Chunyu Wang, and Chengzhi Zhang. "Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs." Molecules 23, no. 9 (September 10, 2018): 2303. http://dx.doi.org/10.3390/molecules23092303.

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Chinese herbal medicine has recently gained worldwide attention. The curative mechanism of Chinese herbal medicine is compared with that of western medicine at the molecular level. The treatment mechanism of most Chinese herbal medicines is still not clear. How do we integrate Chinese herbal medicine compounds with modern medicine? Chinese herbal medicine drug-like prediction method is particularly important. A growing number of Chinese herbal source compounds are now widely used as drug-like compound candidates. An important way for pharmaceutical companies to develop drugs is to discover potentially active compounds from related herbs in Chinese herbs. The methods for predicting the drug-like properties of Chinese herbal compounds include the virtual screening method, pharmacophore model method and machine learning method. In this paper, we focus on the prediction methods for the medicinal properties of Chinese herbal medicines. We analyze the advantages and disadvantages of the above three methods, and then introduce the specific steps of the virtual screening method. Finally, we present the prospect of the joint application of various methods.
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Zhu, Ying Li, and Ling Qin Xie. "Application of Wireless Sensor Network in the Monitoring System for Valuable Chinese Herbal Medicine Growth." Applied Mechanics and Materials 475-476 (December 2013): 442–45. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.442.

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Chinese herbal medicine with no side effects can help people resist disease and keep healthy, due to predatory excavation, and heavy deforestation, the destruction ecological environment, lots of the precious Chinese herbal medicines are on the edge of exhaustion. In order to protect Chinese herbal medicines and do artificial cultivation, the paper presents a real-time monitoring system based wireless sensor network. The system gives the hardware design of wireless sensor node and software implementations. The nodes are mainly responsible for collecting and transporting the environment parameters of the Chinese herbal medicine including temperature, humidity and light intensity and so on, and send the data through the GPRS module to the remote monitoring center. The system can make the artificial cultivation of the medicines more modern, scientific and objective.
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Yang, Qian. "Traditional Chinese manual medicine. Chinese Tunia method." Manuelle Medizin 37, no. 1 (February 1999): 11–17. http://dx.doi.org/10.1007/s003370050098.

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Tang, Shiyi, Jiahao Jue, and Yifan Lin. "Study on Identification Method of Chinese Herbal Medicine based on Infrared Spectroscopy Characteristics." Highlights in Science, Engineering and Technology 24 (December 27, 2022): 143–61. http://dx.doi.org/10.54097/hset.v24i.3906.

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The identification of Chinese herbal medicines is a key issue in the field of traditional Chinese medicine. Based on the characteristics of Chinese herbal medicines, the classification of types, producing areas, and quality can be realized. However, traditional identification methods of Chinese herbal medicines mainly rely on manual identification methods, which requires a lot for identification personnel with low efficiency. To solve this problem, we study the intelligent method of identification of Chinese herbal medicines by using data of infrared spectroscopy characteristic. To solve this problem, this paper studies the classification of spectral characteristic data of Chinese herbal medicines from unsupervised and supervised learning. Firstly, an improved K-means clustering algorithm based on Gaussian distribution model is established for unsupervised spectral classification of Chinese herbal medicines. This method “over-classifies” the sample data by K-means clustering algorithm, and further classifies the data by Gaussian mixture model, thus realizing unsupervised classification of Chinese herbal medicines. Secondly, aiming at the supervised classification and recognition of Chinese herbal medicines, an improved discriminant analysis classification method based on Gaussian distribution is established to identify different kinds and producing areas of Chinese herbal medicines. Finally, we test our method on two sets of data with and without tagged information, with Chinese herbal medicines in two data sets identified respectively. The experimental results fully verify the effectiveness of the method, especially in the supervised identification of Chinese herbal medicines. We have proved the effectiveness of our designed model through the comparison of various methods and extensive tests.
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Wang, Ming-Hui, and Nigel Wiseman. "Review of “English-Chinese Chinese-English Dictionary of Chinese Medicine”." Chinese Journal of Integrated Traditional and Western Medicine 2, no. 4 (December 1996): 304. http://dx.doi.org/10.1007/bf02934708.

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Sun, Xuegang, Donglan Lin, Weikang Wu, and Zhiping Lv. "Translational Chinese Medicine: A Way for Development of Traditional Chinese Medicine." Chinese Medicine 02, no. 04 (2011): 186–90. http://dx.doi.org/10.4236/cm.2011.24029.

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Wang, ZY. "Traditional Chinese medicine in France: French Federation of Traditional Chinese Medicine." Journal of Chinese Integrative Medicine 7, no. 2 (February 15, 2009): 190–93. http://dx.doi.org/10.3736/jcim20090220.

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