Woolf et al have recently called for the development of a mechanism-based p
ain taxonomy to guide the individualization of treatment based on each pati
ent's pain mechanisms. Although any scientific physician could endorse this
ideal, small academic clinical trials so far have failed to identify obvio
us differences in the response of different pain symptoms in the same condi
tion to various drugs. In contrast, there are clear differences in the anal
gesic responses of patient groups distinguished on the basis of etiology or
tissue origin of pain, factors which tend to be associated with groups of
mechanisms. The few tests to diagnose pain mechanisms remain too delicate,
time-consuming, or uncomfortable for general clinical use. To understand ho
w best to exploit new mechanistic insights to assign treatments, one must s
crutinize the relative value of diagnostic classifications based on etiolog
y, tissue, and individual patients' pain characteristics in large clinical
trials. Research priorities should include developing simple methods for as
sessing pain mechanisms in the clinic and increasing the efficiency of pain
assessment methods in clinical trials. I describe a collaborative research
agenda for academic pain researchers and funding agencies, the pharmaceuti
cal industry, and regulatory bodies.