Relationship Graph Explorer
Follow the connections
Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.
🌿
Herb
6,826
→
⚗️
Ingredient
44,598
→
🧬
Gene Target
15,695
→
🏥
Disease
30,467
→
🧪
Evidence
23,295
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
📜 Formula
Ciwujia Naoling Mixture
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
📜 All Formula data fields for Ciwujia Naoling Mixture
📜 Names
Pinyin Name
Ci Wu Jia Nao Ling He Ji
中文名 (Chinese)
刺五加脑灵合剂
English Name
Ciwujia Naoling Mixture
Alias Names
刺五加脑灵液
💊 Form & Use
Category
Chinese patent medicines
Dosage Form
合剂 (Mixture)
Administration
Oral
Source / 出处
Chinese Pharmacopoeia 2020 edition
🌿 Composition
Herbs (中文)
刺五加浸膏, 五味子流浸膏
Herbs (Pinyin)
Ci Wu Jia Jin Gao, Wu Wei Zi Liu Jin Gao
🩺 Syndromes & Indications
Syndromes (中文)
健脾补肾,宁心安神
Indications (中文)
用于心脾两虚、脾肾不足所致的心神不宁、失眠多梦、健忘、倦怠乏力、食欲不振
Indications (English)
Used for restlessness, insomnia, dreaminess, forgetfulness, fatigue, fatigue, and loss of appetite caused by deficiency of the heart and spleen and deficiency of the spleen and kidneys
🔗 External References
HERB DB
ITCM
53333
🔍 Raw view — every non-empty column on this row (28 fields)
name
Ciwujia Naoling Mixture
pinyin name
Ci Wu Jia Nao Ling He Ji
chinese name
刺五加脑灵合剂
english name
Ciwujia Naoling Mixture
alias name
刺五加脑灵液
formula id str
HBFO000909
dosage form
合剂 (Mixture)
administration
Oral
category
Chinese patent medicines
herbs in chinese
刺五加浸膏, 五味子流浸膏
herbs in pinyin
Ci Wu Jia Jin Gao, Wu Wei Zi Liu Jin Gao
syndromes in chinese
健脾补肾,宁心安神
indications in chinese
用于心脾两虚、脾肾不足所致的心神不宁、失眠多梦、健忘、倦怠乏力、食欲不振
indications in english
Used for restlessness, insomnia, dreaminess, forgetfulness, fatigue, fatigue, and loss of appetite caused by deficiency of the heart and spleen and deficiency of the spleen and kidneys
source
Chinese Pharmacopoeia 2020 edition
itcm id
53333
No relationships found yet for this entity. Try picking one of the top-researched items above.
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