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Drug Interaction Checker

Check pairwise drug-drug interactions for any list of medications. Uses RxNorm for drug identity resolution and FDA prescribing information (OpenFDA) for interaction text extraction with keyword-based severity classification.

Features

• Resolves drug names to RxNorm CUI identifiers
• Retrieves official FDA label drug_interactions section
• Extracts relevant interaction passages mentioning the paired drug
• Classifies severity: contraindicated, major, moderate, minor, unknown
• Checks all unique pairs (n drugs → n×(n-1)/2 pairs)
• No API key required

Input

Example:

{"drugs":["warfarin","aspirin","ibuprofen"]}

Output

One record per unique drug pair:

{
"drug1":"warfarin",
"drug2":"aspirin",
"rxcui1":"11289",
"rxcui2":"1191",
"severity":"major",
"description":"Warfarin and aspirin used concomitantly increase the risk of serious bleeding. Monitor PT/INR closely and watch for signs of bleeding if aspirin is used with warfarin.",
"management":"Consult your prescriber or pharmacist. Monitor patient for adverse effects.",
"source":"FDA Prescribing Information (OpenFDA)",
"interactionFound":true
}

Use Cases

1. Polypharmacy Screening

A geriatric ward pharmacist inputs a patient's 8-drug regimen and instantly receives all 28 pairwise interaction flags — prioritising review of contraindicated and major pairs before medication reconciliation.

2. Medical Education Tool

A medical school integrates the actor into a teaching platform where students enter drug combinations and receive FDA-sourced interaction data for case-based learning exercises.

3. Clinical Decision Support Pipeline

A telehealth startup calls this actor as a microservice when a prescriber adds a new drug to a patient record — results feed a risk flag system that triggers pharmacist review for high-severity interactions.

Data Sources

• RxNorm CUI: NLM RxNav API — drug name normalization
• Interaction data: OpenFDA Drug Label API — official FDA prescribing information

Pricing

Pay-per-result. Checking 5 drugs = 10 pairs ≈ $0.05–$0.10.