diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index f2d9f582d8932..44c703c432512 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -117,7 +117,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_float PR01,SA01" \
         -i "pandas.api.types.is_float_dtype SA01" \
         -i "pandas.api.types.is_hashable PR01,RT03,SA01" \
-        -i "pandas.api.types.is_int64_dtype SA01" \
         -i "pandas.api.types.is_integer PR01,SA01" \
         -i "pandas.api.types.is_interval_dtype SA01" \
         -i "pandas.api.types.is_iterator PR07,SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index ff855f97a352b..0252927241ef4 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -886,6 +886,16 @@ def is_int64_dtype(arr_or_dtype) -> bool:
     boolean
         Whether or not the array or dtype is of the int64 dtype.
 
+    See Also
+    --------
+    api.types.is_float_dtype : Check whether the provided array or dtype is of a
+        float dtype.
+    api.types.is_bool_dtype : Check whether the provided array or dtype is of a
+        boolean dtype.
+    api.types.is_object_dtype : Check whether an array-like or dtype is of the
+        object dtype.
+    numpy.int64 : Numpy's 64-bit integer type.
+
     Notes
     -----
     Depending on system architecture, the return value of `is_int64_dtype(