The exponential decay formula
Like many substances the body eliminates at a rate proportional to how much is currently present, EtG concentration over time is commonly modeled as exponential decay: C(t) = C0 × 0.5^(t / t½). Here C(t) is the estimated concentration at time t, C0 is the starting (peak) concentration, t is hours elapsed, and t½ is the half-life—the time it takes for the concentration to fall by half.
This is standard first-order elimination math, the same shape used across pharmacokinetics. Nothing about the formula itself is controversial or unique to EtG.
Where the half-life number comes from
Studies following EtG concentrations after controlled drinking generally describe a urinary elimination half-life in the range of roughly 2 to 3 hours, though individual results vary with hydration, kidney function, and the assay used. That range is narrow enough that reasoning about it in a formula is defensible—use the low end (faster decline) and the high end (slower decline) as bounds rather than picking one number and presenting it as exact.
The hard part: you cannot formula your way to C0
Half-life describes the shape of the decline. It says nothing about where the curve starts. Peak urinary EtG after drinking depends on dose, absorption speed, food in the stomach, body composition, sex, hydration at the time, and individual enzyme activity—factors that can each shift a result several-fold. Published dose-ranging studies show wide scatter in peak concentration even among people who drank comparable amounts.
That is why you will see calculators online that confidently state something like '4 drinks produces roughly 20,000 ng/mL peak EtG.' That specific number is not measured from your body; it is an assumption the calculator's author picked. Running it through a correct decay formula does not make the output more accurate—it just adds false precision on top of an invented starting point. Our quantitative EtG levels guide covers why concentration-to-dose conversions are unreliable in more depth.
A worked example, done honestly
Say a quantitative lab report shows 4,000 ng/mL. Using the formula with a 2-hour half-life, that sample would model to roughly 500 ng/mL at about 8.6 hours later; with a 3-hour half-life, the same starting point takes about 13 hours to reach 500 ng/mL. That 4.4-hour spread, from the half-life range alone, is the honest uncertainty even when the starting number is real. Starting from a guessed peak instead of a measured one widens that uncertainty considerably further.
Our EtG half-life calculator runs this exact formula interactively so you can enter a known or hypothetical concentration and see the range yourself.
What this formula is—and isn't—good for
- Good for: understanding why EtG declines the way it does, and projecting a real, known concentration forward using a defensible half-life range.
- Good for: interpreting two sequential quantitative results from the same person to sanity-check the decline rate.
- Not good for: converting a number of drinks into a specific peak concentration.
- Not good for: producing a single exact hour at which a test will turn negative.
Frequently asked questions
Is there one official EtG elimination half-life?+
No single number applies to everyone. Roughly 2–3 hours is the commonly cited range in the literature, with individual variation from hydration, kidney function, and other factors.
Can I calculate my peak EtG concentration from how many drinks I had?+
Not reliably. Peak concentration depends on absorption, body composition, food, sex, and metabolism in addition to dose, so any fixed 'ng/mL per drink' figure is an assumption, not a measurement.
Why do some other calculators give an exact ng/mL number for a given number of drinks?+
They are applying the decay formula to an invented starting concentration. The formula's math is standard, but the input is a guess, so the output inherits that uncertainty even though it looks precise.
Evidence and limitations
This guide summarizes primary research and public-health guidance. Group-level findings cannot predict one person's result.