Traditional Chinese medicine composition for treating chronic fatigue syndrome
A technology of chronic fatigue and composition, which is applied in drug combination, antipyretic, pharmaceutical formula, etc., can solve the problems of curing CFS, which cannot be effectively explained, and achieve the effect of clear curative effect, enhancing the body's stress ability and effective treatment means
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0012] A traditional Chinese medicine composition for treating chronic fatigue syndrome, which is composed of the following raw materials in parts by weight: 25 parts of astragalus, 15 parts of angelica, 10 parts of wolfberry, 36 parts of salvia miltiorrhiza, 5 parts of hawthorn and 8 parts of notoginseng.
Embodiment 2
[0014] A traditional Chinese medicine composition for treating chronic fatigue syndrome, comprising the following raw materials in parts by weight: 35 parts of astragalus, 8 parts of angelica, 20 parts of wolfberry, 24 parts of salvia miltiorrhiza, 13 parts of hawthorn and 2 parts of notoginseng.
Embodiment 3
[0016] A traditional Chinese medicine composition for treating chronic fatigue syndrome, which is composed of the following raw materials in parts by weight: 30 parts of astragalus, 10 parts of angelica, 15 parts of wolfberry, 30 parts of salvia miltiorrhiza, 10 parts of hawthorn and 5 parts of notoginseng.
[0017] The therapeutic effect of the traditional Chinese medicine composition of the present invention on chronic fatigue syndrome can be fully illustrated through the following animal experiments on the basis of the effectiveness and safety of the previous clinical observations.
[0018] 1. The effect of traditional Chinese medicine composition for the treatment of chronic fatigue syndrome on the stress ability of mice
[0019] 1.1 Animal grouping and administration
[0020] Take 50 healthy mice, half male and half female, after adaptive feeding for 2 days, they were randomly divided into 5 groups according to body weight stratification, respectively blank control group ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 