This work proposes an adaptive sliding-mode controller for quadrotors that is globally stable, fast, and efficient, resolving major issues like quaternion unwinding and adaptive gain overgrowth. Hardware tests on a 32 g nano-quadrotor show superior tracking, robustness, and agile maneuvers compared to benchmark methods.