diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index b3d6c5156c54d..4b7d241f38e29 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -274,7 +274,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.TimedeltaIndex.nanoseconds SA01" \
         -i "pandas.TimedeltaIndex.seconds SA01" \
         -i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
-        -i "pandas.Timestamp.asm8 SA01" \
         -i "pandas.Timestamp.astimezone SA01" \
         -i "pandas.Timestamp.ceil SA01" \
         -i "pandas.Timestamp.combine PR01,SA01" \
diff --git a/pandas/_libs/tslibs/timestamps.pyx b/pandas/_libs/tslibs/timestamps.pyx
index 0010497425c02..47a0dddb5ed15 100644
--- a/pandas/_libs/tslibs/timestamps.pyx
+++ b/pandas/_libs/tslibs/timestamps.pyx
@@ -1150,6 +1150,12 @@ cdef class _Timestamp(ABCTimestamp):
         """
         Return numpy datetime64 format in nanoseconds.
 
+        See Also
+        --------
+        numpy.datetime64 : Numpy datatype for dates and times with high precision.
+        Timestamp.to_numpy : Convert the Timestamp to a NumPy datetime64.
+        to_datetime : Convert argument to datetime.
+
         Examples
         --------
         >>> ts = pd.Timestamp(2020, 3, 14, 15)