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Ingredient
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Gene Target
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Disease
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Evidence
23,295
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
📜 Formula
Chai Hu Jia Long Gu Mu Li Decoction
0
Clinical Trials
5
Meta-Analyses
1
PubMed References
Top Conditions Studied with Chai Hu Jia Long Gu Mu Li Decoction
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Lon 1
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Lon 1
Stroke is one of the most common causes of epilepsy in middl 1
Poststroke depression is a common complication of stroke, wh 1
Multimorbidity with depression has a high incidence in depre 1
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42018102939
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加龍骨牡蠣湯) for treating post-stroke depression: protocol for a systematic review and meta-analysis
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加
CRD42020187174
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加龍骨牡蠣湯) for treating hypertension: protocol for a systematic review and meta-analysis
Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加
CRD42021255407
Efficacy and safety of Chaihu-jia-Longgu-Muli Decoction in the treatment of post-stroke depression: a systematic review and meta-analysis
Poststroke depression is a common complication of stroke, which is closely relat
📚 Sample References
PMID 30687098
Involvement of NMDA-AKT-mTOR Signaling in Rapid Antidepressant-Like Activity of Chaihu-jia-Longgu-Muli-tang on Olfactory Bulbectomized Mice
Front Pharmacol · 2019
📜 All Formula data fields for Chai Hu Jia Long Gu Mu Li Decoction
📜 Names
Pinyin Name
CHAI HU JIA LONG GU MU LI TANG
中文名 (Chinese)
柴胡加龙骨牡蛎汤
English Name
Chai Hu Jia Long Gu Mu Li Decoction
💊 Form & Use
Category
Ancient TCM prescriptions
Dosage Form
汤剂 (Decoction)
Administration
Oral
Source / 出处
ITCM
🌿 Composition
Herbs (中文)
人参, 半夏, 大枣, 大黄, 柴胡, 桂枝, 牡蛎, 生姜, 茯苓, 黄芩, 龙骨
Herbs (Pinyin)
Ren Shen, Ban Xia, Da Zao, Dai Huang, Chai Hu, Gui Zhi, Mu Li, Sheng Jiang, Fu Ling, Huang Qin, Long Gu
🔗 External References
HERB DB
ITCM
48177
🔍 Raw view — every non-empty column on this row (24 fields)
name
Chai Hu Jia Long Gu Mu Li Decoction
pinyin name
CHAI HU JIA LONG GU MU LI TANG
chinese name
柴胡加龙骨牡蛎汤
english name
Chai Hu Jia Long Gu Mu Li Decoction
formula id str
HBFO000552
dosage form
汤剂 (Decoction)
administration
Oral
category
Ancient TCM prescriptions
herbs in chinese
人参, 半夏, 大枣, 大黄, 柴胡, 桂枝, 牡蛎, 生姜, 茯苓, 黄芩, 龙骨
herbs in pinyin
Ren Shen, Ban Xia, Da Zao, Dai Huang, Chai Hu, Gui Zhi, Mu Li, Sheng Jiang, Fu Ling, Huang Qin, Long Gu
source
ITCM
itcm id
48177
🌿 Related Herbs
10 · contains this compoundPinellia Tuber; Tuber of Pinellia
Ban Xia
Chinese Thorowax Root; Root of Chinese Thorowax
Chai Hu
Chinese Date; Jujube Chinese Date
Da Zao
Indian Bread
Fu Ling
Cassia Twig
Gui Zhi
Baical Skullcap Root; Root of Baikal Skullcap
Huang Qin
Dragon'S Bone, Fossilized Bone
Long Gu
Oyster Shell
Mu Li
Ginseng ; Ginseng
Ren Shen
Fresh Ginger
Sheng Jiang
📊 Meta-Analyses
5 · systematic reviewCRD42018102939 Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加
→ Herbal medicine (Sihogayonggolmoryeo-tang or Chai-
CRD42020187174 Herbal medicine (Sihogayonggolmoryeo-tang or Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, 柴胡加
→ Herbal medicine (Sihogayonggolmoryeo-tang or Chai-
CRD42021255407 Efficacy and safety of Chaihu-jia-Longgu-Muli Decoction in the treatment of post
→ Poststroke depression is a common complication of
CRD42022341499 Effect- enhancing and Toxicity-reducing effects of Chaihu Jia Longgu Muli Decoct
→ Multimorbidity with depression has a high incidenc
CRD42023481614 A meta-analysis and network pharmacology analysis of efficiency of Chaihu Jia Lo
→ Stroke is one of the most common causes of epileps
📚 PubMed References
1 · cited researchPMID 30687098 Involvement of NMDA-AKT-mTOR Signaling in Rapid Antidepressant-Like Activity of
Front Pharmacol
How relationships are computed
- Clinical Trials / Meta-Analyses / References: direct foreign-key link via
subject_entity_id(Phase 2d wireup) - Formula ↔ Herbs: text bridge via
formulas.herbs_in_pinyinmatchingherbs.pinyin_name - Herb ↔ Ingredient:
ACTIVE — direct link via
herb_ingredients - Ingredient ↔ Target:
ACTIVE — direct link via
ingredient_targets - Target ↔ Disease:
ACTIVE — direct link via
target_health_topics - Herb → Target → Disease (full chemical spine): ACTIVE — joins all three link tables