Sparse data exist on the penetration of antiretrovirals into brain tissue. In this work, we present a framework to use efavirenz (EFV) pharmacokinetic (
PK
) data in plasma, cerebrospinal fluid (
CSF
), and brain tissue of eight rhesus macaques to predict brain tissue concentrations in
HIV
‐infected individuals. We then perform exposure‐response analysis with the model‐predicted EFV area under the concentration‐time curve (
AUC
) and neurocognitive scores collected from a group of 24
HIV
‐infected participants. Adult rhesus macaques were dosed daily with 200 mg EFV (as part of a four‐drug regimen) for 10 days. Plasma was collected at 8 time points over 10 days and at necropsy, whereas
CSF
and brain tissue were collected at necropsy. In the clinical study, data were obtained from one paired plasma and
CSF
sample of participants prescribed EFV, and neuropsychological test evaluations were administered across 15 domains.
PK
modeling was performed using
ADAPT
version 5.0 Biomedical Simulation Resource, Los Angeles, CA) with the iterative two‐stage estimation method. An eight‐compartment model best described EFV distribution across the plasma,
CSF
, and brain tissue of rhesus macaques and humans. Model‐predicted median brain tissue concentrations in humans were 31 and 8,000 ng/mL, respectively. Model‐predicted brain tissue
AUC
was highly correlated with plasma
AUC
(γ = 0.99,
P
< 0.001) but not
CSF AUC
(γ = 0.34,
P
= 0.1) and did not show any relationship with neurocognitive scores (γ < 0.05,
P
> 0.05). This analysis provides an approach to estimate
PK
the brain tissue in order to perform PK/pharmacodynamic analyses at the target site.