diff --git a/pandas/core/construction.py b/pandas/core/construction.py
index 387df6c6a6b70..89591f27e9092 100644
--- a/pandas/core/construction.py
+++ b/pandas/core/construction.py
@@ -405,9 +405,7 @@ def extract_array(
     For an ndarray-backed Series / Index a PandasArray is returned.
 
     >>> extract_array(pd.Series([1, 2, 3]))
-    <PandasArray>
-    [1, 2, 3]
-    Length: 3, dtype: int64
+    array([1, 2, 3])
 
     To extract all the way down to the ndarray, pass ``extract_numpy=True``.
 
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 5f12a918c0520..54271f0f9b492 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -5406,6 +5406,9 @@ def _get_indexer_strict(self, key, axis_name: str_t) -> tuple[Index, np.ndarray]
         self._raise_if_missing(keyarr, indexer, axis_name)
 
         keyarr = self.take(indexer)
+        if isinstance(key, Index):
+            # GH 42790 - Preserve name from an Index
+            keyarr.name = key.name
         if keyarr.dtype.kind in ["m", "M"]:
             # DTI/TDI.take can infer a freq in some cases when we dont want one
             if isinstance(key, list) or (
diff --git a/pandas/tests/indexing/test_loc.py b/pandas/tests/indexing/test_loc.py
index 9d52e8ab25306..6692a06c79d45 100644
--- a/pandas/tests/indexing/test_loc.py
+++ b/pandas/tests/indexing/test_loc.py
@@ -2432,6 +2432,18 @@ def test_loc_getitem_listlike_of_datetimelike_keys(self, to_period):
         with pytest.raises(KeyError, match="not in index"):
             ser.loc[keys]
 
+    def test_loc_named_index(self):
+        # GH 42790
+        df = DataFrame(
+            [[1, 2], [4, 5], [7, 8]],
+            index=["cobra", "viper", "sidewinder"],
+            columns=["max_speed", "shield"],
+        )
+        expected = df.iloc[:2]
+        expected.index.name = "foo"
+        result = df.loc[Index(["cobra", "viper"], name="foo")]
+        tm.assert_frame_equal(result, expected)
+
 
 @pytest.mark.parametrize(
     "columns, column_key, expected_columns",