QT prolongation
QT prolongation. Delays cardiac repolarisation, usually by blocking the hERG potassium channel. Additive across agents, and made worse by low potassium or magnesium — which is how an electrolyte interaction becomes a cardiac one.
What acts on it
- Citalopram / escitalopram
— agonist, moderate
Dose-dependent QT prolongation; the reason citalopram carries a maximum-dose restriction. - Amitriptyline — agonist, moderate
- Clarithromycin / erythromycin — agonist, moderate
- Amiodarone — agonist, strong
What is affected by it
- Nothing in this dataset.
What a clean result means here
A clean result means NO DOCUMENTED INTERACTION IN THIS DATASET. It does not mean safe, and it is not a clearance. Most substances are not in this dataset at all, and for many pairs that are, nobody has ever studied the combination.
In this dataset
- Monoamine oxidase inhibition (prescription MAOIs, RIMAs, linezolid, methylene blue, harmala alkaloids)
- Serotonergic drugs and the serotonin-toxicity mechanism
- Dietary tyramine and L-dopa loads
- The major cytochrome P450 pathways: CYP3A4, CYP2D6, CYP1A2, CYP2C9, CYP2C19 — inhibition and induction
- P-glycoprotein inhibition and induction
- 11β-HSD2 inhibition (the licorice mechanism) and the potassium consequences that follow it
- QT prolongation as an additive pharmacodynamic axis
- Culinary seasonings and common foods with documented pharmacological activity
- A selected set of narrow-therapeutic-index drugs where those shifts matter most
Not in this dataset
- Any substance not named in this dataset — which is most substances. There are tens of thousands of marketed drugs and this table holds fewer than a hundred entries.
- Phase-2 conjugation (UGT, SULT, NAT2, COMT) except where a specific entry names it. The oilahuasca corpus turns heavily on phase 2 and this engine models it only in passing.
- Pharmacogenomics. CYP2D6 and CYP2C19 are strongly polymorphic; a poor metaboliser and an ultra-rapid metaboliser can have opposite outcomes from the same pair, and this engine does not know your genotype.
- Dose, timing, duration, formulation and route — all of which change whether a documented interaction is clinically real for you.
- Renal and hepatic impairment, age, pregnancy, and body composition.
- Additive sedation, respiratory depression, bleeding risk, hypoglycaemia and most other pharmacodynamic axes beyond the ones listed above.
- Herb–herb interactions outside the named entries, and essentially the whole botanical world: most plants have no interaction literature at all.
- Allergy, intolerance, and contamination or adulteration of unregulated products.
- Anything published after the last-reviewed date below.
72 substances, 20 mechanisms, 64 citations. Last reviewed . Primary literature (every DOI resolved against the Crossref API) and FDA drug labelling. There is no free, openly-licensed, comprehensive drug-interaction dataset to draw on; NLM retired its Drug Interaction API on 2024-01-02 and DrugBank's interaction set is a commercial licence.
References
- Woosley RL, Heise CW, Gallo T, Woosley RD, Lambson J, Romero KA (2025). QTdrugs List. CredibleMeds, AZCERT Inc.. https://crediblemeds.org
- Roden DM (2004). Drug-Induced Prolongation of the QT Interval. New England Journal of Medicine. doi:10.1056/NEJMra032426
Every DOI above was resolved against the Crossref API on 2026-09-09 and the returned title checked against the one printed here. Three DOIs in the first draft resolved to real but different papers and were corrected before publication.
Last reviewed . All interaction pages.