2021
DOI: 10.1142/s0192415x2150049x
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How Chinese Herbal Medicine Prevents Epidemics: From Ancient Pestilences to COVID-19 Pandemic

Abstract: The ongoing coronavirus disease 2019 (COVID-19) pandemic calls for effective control and prevention. Chinese medicine (CM) has developed systematic theories and approaches for infectious disease prevention over 2000 years. Here, we review and analyze Chinese herbal medicines (CHM) used in infectious disease prevention from ancient pestilences to modern epidemics and pandemics to share cumulative preventive medical experience. A total of 829 formulas, including 329 herbs from 189 ancient books, 131 formulas wit… Show more

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Cited by 31 publications
(14 citation statements)
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“…Wearing colorful sachets containing realgar, drinking realgar wine, and sprinkling realgar on walls and doors during the Dragon Boat Festival represent traditional public uses. Realgar works primarily by killing pathogens (disinfecting) and expelling pathogens (detoxifying) [ 75 ].…”
Section: Realgarmentioning
confidence: 99%
“…Wearing colorful sachets containing realgar, drinking realgar wine, and sprinkling realgar on walls and doors during the Dragon Boat Festival represent traditional public uses. Realgar works primarily by killing pathogens (disinfecting) and expelling pathogens (detoxifying) [ 75 ].…”
Section: Realgarmentioning
confidence: 99%
“…The COVID-19 patients are more common in the manifestations of Qi deficiency and blood stasis, for which reason they are prone to have fatigue and decreased exercise endurance. Replenishing and restoring pulmonary Qi are important approach for rehabilitation of COVID-19 ( Wu et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…When the coronavirus disease of 2019 (COVID-19) pandemic emerged, LJ was promoted as a potential remedy to deal with COVID-19, due to its effect of dispersing wind, discharging heat, and resolving dampness [ 15 ]. Its major constituent, chlorogenic acid, was also predicted to be active in targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), based on molecular modeling and network pharmacology approaches [ 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%