Drug Half-Life and Dosing, Explained
After reading this you can predict how any drug builds up over repeated doses, work out when it reaches steady state, and estimate how long it takes to wash out after the last dose, all from two numbers: half-life and absorption time.
What the simulator shows
Every dose you take rises to a peak, then falls away. Take another dose before the first has cleared and the second stacks on the remainder. Repeat this on a schedule and the peaks and troughs climb for a few days, then level off. That plateau is called steady state, and the simulator draws the whole curve hour by hour.
Here is the hook. Caffeine has a half-life near 5 hours. A single 100 mg cup at 8 a.m. leaves about 3 mg in your blood by 8 a.m. the next day, effectively gone. But drink 100 mg at 8 a.m., noon and 4 p.m. every day and your baseline never returns to zero. By day 3 the morning trough sits around 40 mg before your first cup, so you start each day already carrying yesterday's caffeine. The curve makes that accumulation visible.
When to use it, and when not
Use the simulator to build intuition. It answers questions like "why does the label say every 8 hours" and "how long until this is really out of me". It is good for comparing two schedules that deliver the same daily total, and for seeing why a loading dose exists.
Do not use these curves to plan your own dosing. The numbers are population-typical illustrations. Your liver, kidneys, age, genetics and other drugs shift the half-life, sometimes by a factor of two or more. Dosing decisions belong with a professional.
The model also assumes a single body compartment and clean first-order kinetics. Alcohol breaks that assumption because it clears at a roughly constant amount per hour, not a constant fraction, so use the Blood Alcohol Estimator for that. For converting a mg/kg prescription into a volume or an infusion rate, use the Dose & Rate Converter.
The formula and the intuition behind it
A drug faces two competing rates. Absorption pulls the dose from the gut into the blood at rate k_a. Elimination clears it from the blood at rate k_e. The one-compartment model with first-order absorption combines them into a single concentration curve after one dose:
Here C(t) is blood concentration at time t, D is the dose, F is the fraction absorbed (bioavailability), V is the volume of distribution, k_a is the absorption rate and k_e is the elimination rate. The two exponential terms are the tug-of-war: e^{-k_a t} is absorption filling the blood, e^{-k_e t} is elimination draining it.
The elimination rate comes straight from the half-life:
So a 5 hour half-life gives k_e = 0.693 / 5 = 0.1386 per hour. That single number sets how fast every dose decays once absorption is done.
For repeated dosing at interval \tau, the ratio between the steady-state level and the first-dose level is the accumulation ratio:
That is the one number that tells you how much higher your plateau sits above a single dose. Everything else about accumulation follows from it.
A worked example: caffeine on the demo schedule
100 mg every 4 hours for 3 days
The demo uses caffeine: half-life 5 hours, dose 100 mg, one dose every 4 hours. Follow the arithmetic.
- Elimination rate: k_e = 0.693 / 5 = 0.1386 per hour.
- Fraction cleared in one 4 hour interval: e^{-0.1386 \times 4} = e^{-0.5544} = 0.574. So 57.4% of a dose remains when the next arrives.
- Accumulation ratio: R = 1 / (1 - 0.574) = 1 / 0.426 = 2.35.
- Interpretation: the steady-state trough sits about 2.35 times higher than the trough after the first dose alone. The plateau is more than double the single-dose baseline.
- Time to steady state: roughly 4 to 5 half-lives, so 5 \times 5 = 25 hours. By the end of day 1 the curve has essentially settled.
The dose interval matters as much as R. Because you dose every 4 hours but the half-life is 5 hours, you never let a dose fully clear, so the substance simply piles up until output matches input.
Move the interval and watch the plateau
The relationship between dose interval and half-life is the single most instructive idea here, and a static chart cannot show it. Change the interval and the whole plateau shifts.
Reading the markers
The simulator marks four things. Read them together, not in isolation.
- Peak (Cmax)
- The highest concentration in each cycle, reached shortly after absorption finishes. Peaks matter for side effects that scale with concentration.
- Trough (Cmin)
- The lowest point, just before the next dose. For a drug that needs to stay above a threshold, the trough is the number that decides whether the schedule works.
- Time to steady state
- About 4 to 5 half-lives, independent of the dose or interval. A 5 hour half-life reaches steady state in roughly 25 hours no matter how large the doses are.
- Accumulation ratio
- R from the formula above. It tells you how far the plateau sits above the first dose, so a value of 2.35 means the plateau is 135% higher than the opening level.
Same total, different pattern
Two schedules can deliver identical daily totals and behave very differently. Compare 200 mg every 4 hours with 400 mg every 8 hours. Both give 1200 mg per day. Assume a 5 hour half-life.
| Schedule | Fraction left at next dose | Accumulation ratio R | Peak to trough swing |
|---|---|---|---|
| 200 mg every 4 h | 0.574 | 2.35 | Small |
| 400 mg every 8 h | 0.329 | 1.49 | Large |
The 4 hour schedule holds a steadier level with a smaller swing between peak and trough. The 8 hour schedule swings more: higher peaks and lower troughs. If side effects track the peak, the smaller dose more often is gentler. If the drug only needs to clear a threshold, the larger, less frequent dose may be fine. Same total, different shape.
When you compare two regimens, watch the trough as closely as the peak. A schedule with a lower trough may drop below the level where the drug still does its job, even though its peaks look reassuringly high.
Common mistakes
Three errors come up again and again.
Thinking "gone" means one half-life. After one half-life, 50% remains. After 5 half-lives about 3% is left (0.5^5 = 0.03). For caffeine at 5 hours per half-life, that is 25 hours, a full day, before it is effectively cleared. Intuition badly underestimates the tail.
Confusing dose size with plateau height. Doubling every dose doubles the whole curve but does not change the accumulation ratio or the time to steady state. Those depend on the interval and the half-life, not on how much you take.
Ignoring absorption. A slow absorption time (large delay, small k_a) blunts and delays the peak. Two drugs with the same half-life can have very different peak heights if one is absorbed in 20 minutes and the other over 3 hours.
Related tools
For other everyday health estimates on this site: the Water Intake Calculator sets a daily fluid target, the Blood Pressure Category Calculator classifies a reading, and the Dose & Rate Converter handles mg/kg and mg to mL. For cycle and pregnancy planning, see the Ovulation & Fertility Calculator, the Pregnancy Due Date Calculator and the Pregnancy Weight Gain Calculator.
Frequently asked questions
How long until a drug is completely out of my system?
Practically, count about 5 half-lives, which leaves roughly 3% behind. For a 5 hour half-life that is 25 hours. "Completely" is never exact because the decay is exponential and only reaches zero at infinity, but 5 half-lives is the standard rule.
Why does steady state take the same time regardless of dose?
Time to steady state depends only on the half-life, not the dose. Each dose decays at the same fractional rate, so the curve settles after 4 to 5 half-lives whether you take 50 mg or 500 mg. A larger dose gives a higher plateau reached at the same time.
What is a loading dose and why use one?
A loading dose is a larger first dose that jumps straight to the steady-state level, so you do not wait 4 to 5 half-lives to reach a working concentration. After the loading dose, smaller maintenance doses hold the plateau.
Does taking the same daily amount less often ever help?
It changes the shape. Fewer, larger doses raise the peaks and lower the troughs. That can help convenience but risks side effects at the peak and loss of effect at the trough. The daily total alone does not tell you the shape.
Why are these curves smooth when real absorption is messy?
The one-compartment model with first-order absorption is a deliberate simplification. Real absorption depends on food, gut motility and formulation, and clearance varies with organ function. The curves show the population-typical pattern, not your personal numbers.