I wish to simulate from a normal density (say mean=1, sd=1) but only want positive values.

One way is to simulate from a normal and take the absolute value. I think of this as a folded normal.

I see in R there are functions for truncated random variable generation. If I simulate from a truncated normal (truncation at 0) is this equivalent to the folded approach?