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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
Subject Type: 🌿 Herbs ⚗️ Ingredients 📜 Formulas 🧬 Targets 🏥 Diseases
Quick picks: Abetalipoproteinemia Abortion, Habitual Agenesis Acanthamoeba Keratitis Acanthosis Nigricans Achondrogenesis Achondroplasia Acne Vulgaris Acne Keloid Apert Syndrome
🏥 Disease / Health Topic

Acute Psychosis

Open on HERB 2.0 ↗
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42020179683
A systematic review and meta-analysis of the prevalence of cocaine-induced psychosis in cocaine users
Among the psychiatric consequences of cocaine use, observations strongly suggest
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Acute Psychosis
🏥 Names
Disease Name
Acute Psychosis
Topic Type
disease
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Mental or Behavioral Dysfunction
MeSH Class
Mental Disorders
🔗 External References
HERB DB
HBDIS007221 ↗
DisGeNET
C0281774
🔍 Raw view — every non-empty column on this row (21 fields)
name
Acute Psychosis
topic type
disease
disgenet disease type
disease
umls disease type
Mental or Behavioral Dysfunction
mesh disease class
Mental Disorders
umls disease type id
T048
mesh disease class id
F03
herb disease id
HBDIS007221
disgenet id
C0281774

📊 Meta-Analyses

1 · systematic review
CRD42020179683 A systematic review and meta-analysis of the prevalence of cocaine-induced psych
→ Among the psychiatric consequences of cocaine use,
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_pinyin matching herbs.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