diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
index 2313e28950de7..353da80e27464 100644
--- a/pandas/core/arrays/arrow/array.py
+++ b/pandas/core/arrays/arrow/array.py
@@ -2091,7 +2091,10 @@ def _dt_round(
         return self._round_temporally("round", freq, ambiguous, nonexistent)
 
     def _dt_to_pydatetime(self):
-        return np.array(self._pa_array.to_pylist(), dtype=object)
+        data = self._pa_array.to_pylist()
+        if self._dtype.pyarrow_dtype.unit == "ns":
+            data = [ts.to_pydatetime(warn=False) for ts in data]
+        return np.array(data, dtype=object)
 
     def _dt_tz_localize(
         self,
diff --git a/pandas/io/sql.py b/pandas/io/sql.py
index ec04a9ce81d92..044fd9806d921 100644
--- a/pandas/io/sql.py
+++ b/pandas/io/sql.py
@@ -964,14 +964,16 @@ def insert_data(self) -> tuple[list[str], list[np.ndarray]]:
         data_list: list[np.ndarray] = [None] * ncols  # type: ignore[list-item]
 
         for i, (_, ser) in enumerate(temp.items()):
-            vals = ser._values
-            if vals.dtype.kind == "M":
-                d = vals.to_pydatetime()
-            elif vals.dtype.kind == "m":
+            if ser.dtype.kind == "M":
+                d = ser.dt.to_pydatetime()
+            elif ser.dtype.kind == "m":
+                vals = ser._values
+                if isinstance(vals, ArrowExtensionArray):
+                    vals = vals.to_numpy(dtype=np.dtype("m8[ns]"))
                 # store as integers, see GH#6921, GH#7076
                 d = vals.view("i8").astype(object)
             else:
-                d = vals.astype(object)
+                d = ser._values.astype(object)
 
             assert isinstance(d, np.ndarray), type(d)
 
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index 1cdff54cd6df6..a740cb91850d3 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -2271,6 +2271,7 @@ def test_dt_to_pydatetime():
     result = ser.dt.to_pydatetime()
     expected = np.array(data, dtype=object)
     tm.assert_numpy_array_equal(result, expected)
+    assert all(type(res) is datetime for res in result)
 
     expected = ser.astype("datetime64[ns]").dt.to_pydatetime()
     tm.assert_numpy_array_equal(result, expected)
diff --git a/pandas/tests/io/test_sql.py b/pandas/tests/io/test_sql.py
index 3d79d483038ee..1bfc5cf0c3178 100644
--- a/pandas/tests/io/test_sql.py
+++ b/pandas/tests/io/test_sql.py
@@ -24,6 +24,7 @@
     date,
     datetime,
     time,
+    timedelta,
 )
 from io import StringIO
 from pathlib import Path
@@ -549,6 +550,26 @@ def test_dataframe_to_sql(conn, test_frame1, request):
     test_frame1.to_sql("test", conn, if_exists="append", index=False)
 
 
+@pytest.mark.db
+@pytest.mark.parametrize("conn", all_connectable)
+def test_dataframe_to_sql_arrow_dtypes(conn, request):
+    # GH 52046
+    pytest.importorskip("pyarrow")
+    df = DataFrame(
+        {
+            "int": pd.array([1], dtype="int8[pyarrow]"),
+            "datetime": pd.array(
+                [datetime(2023, 1, 1)], dtype="timestamp[ns][pyarrow]"
+            ),
+            "timedelta": pd.array([timedelta(1)], dtype="duration[ns][pyarrow]"),
+            "string": pd.array(["a"], dtype="string[pyarrow]"),
+        }
+    )
+    conn = request.getfixturevalue(conn)
+    with tm.assert_produces_warning(UserWarning, match="the 'timedelta'"):
+        df.to_sql("test_arrow", conn, if_exists="replace", index=False)
+
+
 @pytest.mark.db
 @pytest.mark.parametrize("conn", all_connectable)
 @pytest.mark.parametrize("method", [None, "multi"])