Looking for a way to pull up drug information about Xanax (alprazolam) via an API?
Below are some of the most popular, publicly‑available APIs that let you query drug data programmatically. I’ll give a quick rundown of each, how you can get started, and a short example in Python (you can adapt it to any language you prefer).
| API |
What it offers |
Typical use‑cases |
How to get started |
| OpenFDA – Drugs |
FDA‑approved drug labels, approvals, adverse events, etc. |
Quick lookup of brand names, ingredients, dosage, warnings. |
https://open.fda.gov/apis/drug/label/ – no auth required. |
| RxNorm API (via UMLS) |
Standardized drug names, ingredients, brand/generic mapping, drug classes. |
Resolve brand vs generic, get ingredient codes, create drug vocab. |
Register for a UMLS account, get a license key. API: https://rxnav.nlm.nih.gov/REST/… |
| MedlinePlus Connect |
FDA drug labels, drug facts, warnings, interactions. |
Embed concise drug facts into apps, mobile health. |
Free, no key. Use https://medlineplus.gov/connect/ |
| DrugBank (Free tier) |
Comprehensive drug database (chemical, pharmacology, targets, side‑effects). |
Deep pharmacological data, drug–drug interactions. |
Sign up for a free API key. Endpoint: https://api.drugbankplus.com/v1/drugs/ |
| WHO ATC/DDD |
Anatomical Therapeutic Chemical (ATC) classification, defined daily doses. |
Epidemiology studies, prescription monitoring. |
Free, no key. Use https://worldwide.who.int/api/… |
Quick Starter: OpenFDA for Xanax
import requests
# Endpoint for drug labels; we’ll filter by brand name "Xanax"
url = "https://api.fda.gov/drug/label.json"
params = {
"search": "openfda.brand_name:XA_NAX",
"limit": 1
}
resp = requests.get(url, params=params)
resp.raise_for_status()
data = resp.json()
# Pretty‑print the first result
import json, pprint
pprint.pprint(json.dumps(data, indent=2))
What you’ll see
The JSON will include:
- Brand name (
Xanax)
- Generic (
alprazolam)
- Ingredients (
alprazolam 0.5 mg tablets)
- Dosage instructions
- Warnings / precautions
Using RxNorm to resolve brand → generic
# You need a UMLS API key stored in the environment as UMLS_API_KEY
import os, requests
api_key = os.getenv("UMLS_API_KEY")
if not api_key:
raise RuntimeError("Set UMLS_API_KEY env var first")
# Step 1: Search for brand name
search_url = "https://rxnav.nlm.nih.gov/REST/rxcui.json"
params = {"name": "Xanax", "searchtype": "2"} # searchtype=2 = exact match
r = requests.get(search_url, params=params)
r.raise_for_status()
rxcui = r.json()["idGroup"]["rxnormId"][0] # take first match
# Step 2: Get ingredient information
detail_url = f"https://rxnav.nlm.nih.gov/REST/rxcui/{rxcui}/allProperties.json"
r = requests.get(detail_url, params={"propList":"all"})
r.raise_for_status()
detail = r.json()
print(detail)
Result
You’ll get the generic ingredient (alprazolam) along with its RxNorm codes, chemical structure, etc.
Quick Tips
| Tip |
Why it helps |
| Use the brand name when searching in OpenFDA. |
Most labels are filed under the brand. |
| Normalize to RxNorm first, then use DrugBank for deep pharmacology. |
RxNorm gives you the canonical ID; DrugBank can then fetch targets, mechanisms, etc. |
| Check for “warnings” in the FDA label. |
Important for safe prescribing. |
| Add pagination/limits if you expect many results. |
Keeps responses lightweight. |
Need more help?
-
Want to embed drug facts into a mobile app?
Use MedlinePlus Connect; it returns a small, formatted block of drug facts that’s ready to display.
-
Curious about drug interactions or pharmacogenomics?
DrugBank has rich tables for interactions, metabolites, and CYP450 involvement.
-
Working on a research project and need standardized drug codes?
RxNorm + ATC give you a tidy mapping.
Just let me know which specific data you’re after (e.g., dosage, interactions, side‑effects, etc.) or if you’d like a deeper dive into one of those APIs!