Health AI Central
Share:
Peer-Reviewed Publication
Eur J Drug Metab Pharmacokinet2026;51(4):463-473.July 1, 2026Journal Article

Population Pharmacokinetics of Intranasal Amiloride in Healthy Volunteers.

Manav Jain1, Shaun Kumar2, Marco Battaglia3, Simon Davies4, Joseph Rower5, Christopher Reilly5, Venkata K Yellepeddi6,7
1Division of Clinical Pharmacology, Department of Pediatrics, Spencer Fox Eccles School of Medicine, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84109, USA.
2Parexel International, Sydney, Australia.
3Department of Psychiatry, University of Toronto, Toronto, Canada.
4Department of Molecular Pharmaceutics, College of Pharmacy, University of Utah, Salt Lake City, UT, USA.
5Center for Human Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT, USA.
6Division of Clinical Pharmacology, Department of Pediatrics, Spencer Fox Eccles School of Medicine, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84109, USA. venkata.yellepeddi@hsc.utah.edu.
7Department of Molecular Pharmaceutics, College of Pharmacy, University of Utah, Salt Lake City, UT, USA. venkata.yellepeddi@hsc.utah.edu.
PubMed DOI

Abstract

BACKGROUND AND OBJECTIVE: Amiloride, an acid-sensing ion channel (ASIC) blocking agent with demonstrated anti-panic effects in preclinical models, is a promising candidate for rapid treatment of panic attacks. Intranasal administration enables rapid systemic uptake, and single-dose pharmacokinetics (PK) of intranasal amiloride in healthy adults have been described, but its population PK (PopPK) pr…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.