  Motivated by the recent advances in the theory of stochastic partial
differential equations involving nonlinear functions of distributions, like the
Kardar-Parisi-Zhang (KPZ) equation, we reconsider the unique solvability of
one-dimensional stochastic differential equations, the drift of which is a
distribution, by means of rough paths theory. Existence and uniqueness are
established in the weak sense when the drift reads as the derivative of a
H{\"o}lder continuous function. Regularity of the drift part is investigated
carefully and a related stochastic calculus is also proposed, which makes the
structure of the solutions more explicit than within the earlier framework of
Dirichlet processes.
