diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index a6447ffe86630..395b1a66a15cb 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -342,7 +342,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_signed_integer_dtype SA01" \
         -i "pandas.api.types.is_sparse SA01" \
         -i "pandas.api.types.is_string_dtype SA01" \
-        -i "pandas.api.types.is_timedelta64_dtype SA01" \
         -i "pandas.api.types.is_timedelta64_ns_dtype SA01" \
         -i "pandas.api.types.is_unsigned_integer_dtype SA01" \
         -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 4d8d3c2816f69..c28a21d5c8dd4 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -362,6 +362,13 @@ def is_timedelta64_dtype(arr_or_dtype) -> bool:
     boolean
         Whether or not the array-like or dtype is of the timedelta64 dtype.
 
+    See Also
+    --------
+    api.types.is_timedelta64_ns_dtype : Check whether the provided array or dtype is
+        of the timedelta64[ns] dtype.
+    api.types.is_period_dtype : Check whether an array-like or dtype is of the
+        Period dtype.
+
     Examples
     --------
     >>> from pandas.core.dtypes.common import is_timedelta64_dtype