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Synapedia is an independent knowledge project about psychoactive substances and harm reduction. If the platform helps you learn something new, you can support its development.
Every bit helps keep the project alive.
Structured, evidence-aware substance knowledge for apps, research tools, and harm reduction systems.
What You Get
Mechanisms, positive and negative effects, risk signals, and pharmacological timelines — structured and normalized.
Structured interaction pairs with risk levels, mechanism explanations, and mitigation guidance.
Source attribution, confidence scoring, and multi-source cross-validation on every data point.
Street names, brand names, and chemical identifiers resolved to canonical substance entries.
Readiness score, evidence score, review status, and data-origin flags for every record.
Pre-structured MDX sections ready to render in your UI — effects, risks, safer use, and more.
Why It's Different
Most substance APIs give you a static JSON export with no provenance, no scoring, and no way to tell good data from bad. Synapedia is a self-improving knowledge system.
How It Works
Every substance record goes through a multi-stage pipeline — from discovery to publication. Fully automated, continuously running.
Identify missing or outdated knowledge across 500+ substances automatically.
Collect structured data from PubChem, Wikidata, PsychonautWiki, OpenFDA, and literature.
Score each signal for confidence, recency, and cross-source agreement.
Generate structured enrichment proposals with citations and provenance metadata.
Human review or auto-apply based on confidence thresholds and quality gates.
Push to API endpoints and update the UI. Live within minutes.
Example Response
Every response includes structured pharmacology, interaction data, and quality metadata — not just raw text.
{
"slug": "lsd",
"name": "LSD",
"class_primary": "Psychedelika",
"evidence_score": 87,
"quality_tier": "high",
"mechanism": {
"primary": "5-HT2A receptor partial agonist",
"secondary": ["5-HT2C", "D2", "5-HT1A"],
"description": "Potent serotonergic psychedelic acting primarily through 5-HT2A receptor activation in cortical pyramidal neurons"
},
"effects_positive": [
"Visual and auditory enhancement",
"Increased pattern recognition",
"Emotional intensification",
"Sense of interconnectedness"
],
"risks": [
"Anxiety or panic in uncontrolled settings",
"HPPD (rare, dose-dependent)",
"Psychological distress in predisposed individuals"
],
"interactions": [
{
"substance": "SSRI",
"risk_level": "moderate",
"mechanism": "Serotonergic competition at 5-HT2A",
"effect": "Significantly reduced psychedelic effects"
},
{
"substance": "Lithium",
"risk_level": "dangerous",
"mechanism": "Seizure threshold reduction",
"effect": "Risk of seizures and psychotic episodes"
}
],
"metadata": {
"sources_count": 12,
"last_updated": "2026-04-15",
"data_origin": "multi_source",
"review_status": "reviewed"
}
}Use Cases
Real-time interaction checks and risk signals for festival safety, drug checking, and peer support.
Mechanism-level substance pair analysis with confidence scores and mitigation guidance.
Structured pharmacology data at scale — receptor profiles, mechanism pathways, and interaction matrices.
Evidence-based pharmacological content for medical training, CME platforms, and university curricula.
Normalized substance data with canonical mapping for forums, wikis, and peer knowledge systems.
Grounding layer for LLM-powered health tools — structured facts instead of hallucinated pharmacology.
Trust & Safety
Pharmacological data carries real-world consequences. Our system is designed around transparency, uncertainty quantification, and responsible data delivery.
Every data point carries a confidence score derived from source count, recency, and cross-validation across multiple databases.
When data is incomplete or conflicting, we tell you. Quality metadata flags gaps, stale data, and low-confidence records explicitly.
Synapedia provides structured pharmacological knowledge for integration into professional tools. It does not replace clinical judgment.
We surface provenance, data origin, and review status for every record. You decide how to weight our output in your system.
Substance intelligence for your app. Structured data, evidence scoring, and a pipeline that never stops improving.
Synapedia provides scientific information only. Not a substitute for medical advice. All data is based on published pharmacological research.