I now have everything needed for a rich, example-driven explanation. Here it is:
Pharmacokinetics With Worked Examples
1. Volume of Distribution (V_d) — With Examples
$$V_d = \frac{\text{Amount of drug in body (Dose)}}{\text{Plasma concentration (C)}}$$
Worked Example 1 — Basic Calculation
10 mg of drug is given IV. Plasma concentration at time zero = 2 mg/L
$$V_d = \frac{10 \text{ mg}}{2 \text{ mg/L}} = \mathbf{5 \text{ L}}$$
Now if the concentration was only 1 mg/L instead (more tissue binding):
$$V_d = \frac{10 \text{ mg}}{1 \text{ mg/L}} = \mathbf{10 \text{ L}} \quad \leftarrow \text{drug is "hiding" in tissues}$$
— Barash's Clinical Anesthesia, 9e
Real Drug Examples
| Drug | V_d (L/kg) | V_d in 70 kg adult | Meaning |
|---|
| Heparin | ~0.06 | ~4 L | Stays in plasma |
| Amoxicillin | 0.47 | ~33 L | Mostly ECF |
| Phenytoin | 0.4–0.8 | ~42 L | Total body water |
| Carbamazepine | 1.2 | ~84 L | Some tissue binding |
| Digoxin | 4–7 | ~350–490 L | Extensive tissue (muscle/heart) binding |
| Chloroquine | >200 | >14,000 L | Massive tissue sequestration |
Digoxin's V_d of 4–7 L/kg tells us that only a tiny fraction of the total drug is in the plasma at any given time — most is bound to Na⁺/K⁺-ATPase in muscle and cardiac tissue. This is why plasma levels can seem low even with therapeutic dosing, and why dialysis does NOT effectively remove digoxin (you'd have to remove an enormous "apparent volume"). — Rosen's Emergency Medicine
Clinical Use: Loading Dose Calculation
$$\text{Loading Dose} = V_d \times \text{Target Concentration}$$
Phenytoin example (70 kg patient, target level = 10 mg/L):
- V_d = 0.6 L/kg × 70 kg = 42 L
- Loading dose = 42 L × 10 mg/L = 420 mg
To bring a subtherapeutic level (5 mg/L) up to 15 mg/L:
- Dose needed = 0.6 L/kg × 70 kg × (15 − 5 mg/L) = 420 mg
— Goldman-Cecil Medicine
2. Clearance (CL) — With Examples
$$CL = \frac{\text{Dose}}{\text{AUC}} \quad \text{(first-order drugs only)}$$
Worked Example 2 — From AUC
500 mg IV dose given. AUC = 100 mg·hr/L
$$CL = \frac{500 \text{ mg}}{100 \text{ mg·hr/L}} = \mathbf{5 \text{ L/hr}} \approx 83 \text{ mL/min}$$
Real Drug Examples
| Drug | Total CL (mL/min) | Primary route | Notes |
|---|
| Amoxicillin | 417 | Renal (86%) | Dose-reduce in renal failure |
| Aspirin (low dose) | 575–725 | Hepatic (>95%) | High extraction |
| Phenytoin | 167 | Hepatic | Capacity-limited at high doses |
| Lithium | 20–40 | Renal (95–99%) | Mirrors GFR exactly |
| Carbamazepine | 50–125 | Hepatic | Induces its own metabolism |
| Digoxin | ~130 | Renal (~70%) | Reduce dose in renal failure |
— Goldman-Cecil Medicine, Table 25 Pharmacokinetic Parameters
Zero-Order Exception (Phenytoin, Ethanol, High-dose Aspirin)
At high doses, these drugs saturate their enzymes. Clearance is no longer constant — it falls as concentration rises. This is why a small phenytoin dose increase can cause a disproportionately large rise in blood levels (and toxicity).
3. Half-Life (t½) — With Examples
$$t_{1/2} = \frac{0.693 \times V_d}{CL}$$
Worked Example 3 — Calculate t½ from V_d and CL
Drug: V_d = 42 L, CL = 5 L/hr
$$t_{1/2} = \frac{0.693 \times 42}{5} = \frac{29.1}{5} = \mathbf{5.8 \text{ hours}}$$
Real Drug t½ Comparison
| Drug | V_d (L) in 70 kg | CL (L/hr) | t½ | Clinical implication |
|---|
| Aspirin | ~11 L | ~40 L/hr | ~15–20 min | Very short; must give frequently or as infusion |
| Amoxicillin | ~33 L | ~25 L/hr | ~1.2 hr | Dose every 8 hr |
| Carbamazepine | ~84 L | ~5 L/hr | ~12–17 hr | Dose twice daily |
| Lithium | ~56 L | ~1.7 L/hr | ~20–24 hr | Once daily; closely monitor levels |
| Digoxin | ~350–490 L | ~7.5 L/hr | ~36–48 hr | Reaches steady state in ~7–10 days |
| Amiodarone | ~4,200 L | variable | ~40–55 days | Enormous V_d → extremely long t½ |
Example 4 — Disease Changes t½ (Digoxin in Renal Failure)
In chronic renal failure:
- CL of digoxin ↓ (less renal excretion)
- V_d also ↓ (loss of muscle mass = less binding sites)
Both drop proportionally, so:
$$t_{1/2} = \frac{0.693 \times \downarrow V_d}{\downarrow CL}$$
The t½ does not rise as much as expected — because the smaller V_d partially compensates for reduced clearance. This is why digoxin toxicity in renal failure is partly due to lower V_d (more drug stays in plasma), not just reduced clearance. — Katzung, 16th Ed.
Example 5 — Age Changes t½ (Diazepam)
In elderly patients:
- CL of diazepam → unchanged
- V_d → increases (more body fat, drug distributes more widely)
$$t_{1/2} = \frac{0.693 \times \uparrow V_d}{\text{CL (same)}} \quad \Rightarrow \quad t_{1/2} \uparrow$$
Diazepam's half-life doubles or triples in the elderly — purely because fat mass increases and V_d expands. This causes sedation to persist much longer. Dose reduction is required. — Katzung, 16th Ed.
4. Half-Life in Practice — Drug Elimination Timeline
Example: A drug with t½ = 6 hours
| Time | % of drug remaining |
|---|
| 6 hr (1 t½) | 50% |
| 12 hr (2 t½) | 25% |
| 18 hr (3 t½) | 12.5% |
| 24 hr (4 t½) | 6.25% |
| 30 hr (5 t½) | ~3% → practically eliminated |
And during dosing — steady state is reached after ~4–5 half-lives regardless of the dose size or dosing frequency (only the rate of infusion/dose determines the level at steady state, not how fast it's reached).
One-Line Summary
| Parameter | Formula | Mnemonic |
|---|
| V_d | Dose ÷ C₀ | "How widely it spreads" |
| CL | Dose ÷ AUC | "How fast it's cleared" |
| t½ | 0.693 × V_d ÷ CL | "How long it lasts" |
t½ goes UP when V_d is large (drug hides in tissues) or CL is low (poor elimination).
t½ goes DOWN when V_d is small or CL is high.
Sources: Katzung's Basic & Clinical Pharmacology 16e; Goldman-Cecil Medicine; Barash's Clinical Anesthesia 9e; Rosen's Emergency Medicine