In an ideal harm reduction model, drugs would be ranked according to their
potential to cause harm, with varying implications for control policies and
interventions. In such a public health oriented approach, the maximum prot
ection of the public from harm would be balanced with the least possible re
striction of freedom. In reality, however, the accuracy and completeness of
the necessary information for such a ranking is highly limited. Many other
factors not readily incorporated in a rational model, such as values, beli
efs, and traditions, also affect drug policy decisions. Thus, rather than r
elying on acquisition of the necessary knowledge, it may be preferable to f
ocus efforts on developing effective nonlegal measures to reduce drug use a
nd harm. [Translations are provided in the International Abstracts Section
of this issue.].