  We extend the taming techniques developed in
\cite{konstantinos2014,sabanis2013} to construct explicit Milstein schemes that
numerically approximate L\'evy driven stochastic differential equations with
super-linearly growing drift coefficients. The classical rate of convergence is
recovered when the first derivative of the drift coefficient satisfies a
polynomial Lipschitz condition.
