io.github.rootsbymenda/pharma-regulatory

Retrieve FDA FAERS post-market adverse event reports and safety signals for a drug or active ingredient. Input: drug brand name or generic active ingredient (e.g. 'ibuprofen', 'metformin'). Returns: total FAERS report counts, serious outcome counts, death report counts, top 10 adverse reactions by frequency, most common patient age groups, and drug ranking. Source: FDA Adverse Event Reporting System (FAERS) — 2,000 top-reported drugs with aggregated safety signals. For pharmacovigilance and post-market drug safety assessment. Do not use for interaction mechanisms (use check_drug_interactions), regulatory approvals (use check_drug), or supplement/nutrition questions.

Retrieve pharmaceutical regulatory reference data for a drug, medicine, or active ingredient across multiple authoritative datasets. Input: drug brand name, generic active ingredient, or CAS number (e.g. 'metformin', 'ibuprofen', '50-78-2'). Returns: DrugBank compound data (ID, groups, targets, SMILES, DDI count), WHO Essential Medicines listing (ATC code, formulations, indications, dosage, contraindications, pregnancy safety), Australian TGA ARTG records (ARTG ID, sponsor, category, schedule, dosage form, route, indications), and FDA NDI notifications (NDI number, FDA response, intended use). Sources: DrugBank (4,947 compounds), WHO EML, Australian TGA ARTG (23,259 medicines), FDA NDI (1,330 notifications). For pharmaceutical regulatory compliance and drug safety reference. Do not use for drug-drug interactions (use check_drug_interactions), adverse events (use check_adverse_events), or cosmetic/food/cannabis substances.

Check drug-drug interactions with severity, mechanism, clinical effect, and management guidance from a curated pharmaceutical interaction database. Input: primary drug name and optional second drug for pair-specific lookup (e.g. 'warfarin' + 'aspirin'). Returns: interaction pairs with severity classification, pharmacological mechanism, clinical effect description, evidence level, and management recommendations. Single-drug queries return all known interactions grouped by severity. Database: 5,000 documented drug-drug interactions with clinical evidence. For pharmaceutical safety review and medication management. Do not use for drug monographs (use check_drug), adverse events (use check_adverse_events), or non-drug interactions.

Search across all pharmaceutical regulatory and safety datasets by disease area, drug class, safety endpoint, indication, target, or regulatory keyword. Input: keyword for broad discovery (e.g. 'diabetes', 'antibiotic', 'hepatotoxicity', 'pregnancy', 'cancer'). Returns: cross-dataset matches from DrugBank, WHO Essential Medicines, Australian TGA ARTG, FDA FAERS, drug interactions, FDA NDI, and ChEMBL bioactivity — each with dataset labels, identifiers, and source-specific fields. Database: 7 pharmaceutical datasets totaling 45,000+ records. For pharmaceutical research and regulatory intelligence discovery. Do not use when the exact drug name is known (use check_drug, check_drug_interactions, or check_adverse_events for targeted lookups).