The integrated autocorrelation time for a given expectand (it can vary from expectand to expectand) is just the number of iterations divided by that expectand’s effective sample size estimator; see for example Markov Chain Monte Carlo in Practice.
I wouldn’t take that last sentence from Sokal too seriously as the wording doesn’t really correspond to the actual mathematics and it depends on a lot of unstated assumptions.