# Drug Interaction Checker — RxNorm Clinical API (`azureblue/drug-interaction-checker`) Actor Check pairwise drug-drug interactions using FDA prescribing information and RxNorm. Returns severity (contraindicated/major/moderate/minor) and interaction description. - **URL**: https://apify.com/azureblue/drug-interaction-checker.md - **Developed by:** [azureblue](https://apify.com/azureblue) (community) - **Categories:** Developer tools - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $14.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 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 | Field | Type | Required | Description | |-------|------|----------|-------------| | `drugs` | array of strings | ✅ | List of ≥2 drug names (generic names preferred) | **Example:** ```json { "drugs": ["warfarin", "aspirin", "ibuprofen"] } ``` ### Output One record per unique drug pair: ```json { "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](https://rxnav.nlm.nih.gov/) — drug name normalization - **Interaction data**: [OpenFDA Drug Label API](https://open.fda.gov/apis/drug/label/) — official FDA prescribing information ### Pricing Pay-per-result. Checking 5 drugs = 10 pairs ≈ $0.05–$0.10. # Actor input Schema ## `drugs` (type: `array`): List of drug names to check pairwise interactions for. Provide at least 2. Use generic names for best results. Example: \['warfarin', 'aspirin', 'ibuprofen']. ## Actor input object example ```json { "drugs": [ "warfarin", "aspirin", "ibuprofen" ] } ``` # Actor output Schema ## `dataset` (type: `string`): Open the run's default dataset to view, filter and export the scraped items. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "drugs": [ "warfarin", "aspirin" ] }; // Run the Actor and wait for it to finish const run = await client.actor("azureblue/drug-interaction-checker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "drugs": [ "warfarin", "aspirin", ] } # Run the Actor and wait for it to finish run = client.actor("azureblue/drug-interaction-checker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "drugs": [ "warfarin", "aspirin" ] }' | apify call azureblue/drug-interaction-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,azureblue/drug-interaction-checker" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/eM9o1ME0rVidrgYt8/builds/Kk2VRmnxK6gq68fCR/openapi.json