Per-substance profiles
Each profile has a half-life calculator, comparison context, an editorial read, and links back to source material. The pages are built to answer “what does this number mean?” before a reader overuses it.
Choose a substance and an elapsed time. HalfLifeDB turns source-linked half-life estimates into a readable curve, then surrounds the number with the context a careful reader needs.
Start with something common like MDMA, cocaine, nicotine, or caffeine, or explore medications and nonmedical substances by category. Each published entry has a normalized curve, source notes, and clear limits.
Browse: all substances · compare curves · Learning Center
HalfLifeDB focuses on one narrow job: make half-life easier to see, then make the limits of that visual hard to miss.
Each profile has a half-life calculator, comparison context, an editorial read, and links back to source material. The pages are built to answer “what does this number mean?” before a reader overuses it.
The calculator applies a one-compartment first-order elimination model. Every half-life interval, the model halves the remaining amount and plots the curve. It is intentionally simple, then clearly labeled where real pharmacokinetics can be more complicated.
The site is intentionally narrow: explain half-life, show the math, disclose uncertainty, and link readers back to source material.
Each calculator uses the same first-order equation, displays the half-life value used, and explains what the curve can and cannot tell you.
References are shown on each profile. A numerical curve is published only when labeling, a human study, or a focused review supports the selected value; identity databases are treated as background, not proof.
HalfLifeDB does not provide dosing guidance, treatment advice, impairment estimates, or instructions for laboratory testing. Those boundaries are repeated across the site.
These explainers make the calculator easier to interpret before looking up a specific substance.
A plain-language explanation of the term, the 50% concept, and why a half-life number is not a safety claim.
Why subjective effects can fade before elimination is complete, and why some downstream effects can last beyond the parent compound.
A checklist of study design and person-to-person factors that can shift reported pharmacokinetic values.
A practical guide to scanning pharmacokinetic papers for population, route, analyte, sampling window, and limitations.
Why half-life depends on both removal from the measured compartment and how widely a substance distributes through the body.
Why oral, inhaled, injected, transdermal, immediate-release, and extended-release sources should not be treated as interchangeable.