# Drug Interaction Checker (`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:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $7.50 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 = {}; // 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 = {} # 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("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call azureblue/drug-interaction-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=azureblue/drug-interaction-checker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Drug Interaction Checker", "description": "Check pairwise drug-drug interactions using FDA prescribing information and RxNorm. Returns severity (contraindicated/major/moderate/minor) and interaction description.", "version": "1.0", "x-build-id": "0iQRmeNOnHz7Wqnr3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/azureblue~drug-interaction-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-azureblue-drug-interaction-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/azureblue~drug-interaction-checker/runs": { "post": { "operationId": "runs-sync-azureblue-drug-interaction-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/azureblue~drug-interaction-checker/run-sync": { "post": { "operationId": "run-sync-azureblue-drug-interaction-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "drugs" ], "properties": { "drugs": { "title": "Drug Names", "type": "array", "description": "List of drug names to check pairwise interactions for. Provide at least 2. Use generic names for best results. Example: ['warfarin', 'aspirin', 'ibuprofen']." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```