diff --git a/doc/source/whatsnew/v2.3.2.rst b/doc/source/whatsnew/v2.3.2.rst
index 50550862e7436..2d2553e7b32be 100644
--- a/doc/source/whatsnew/v2.3.2.rst
+++ b/doc/source/whatsnew/v2.3.2.rst
@@ -26,8 +26,8 @@ Bug fixes
   "string" type in the JSON Table Schema for :class:`StringDtype` columns
   (:issue:`61889`)
 - Boolean operations (``|``, ``&``, ``^``) with bool-dtype objects on the left and :class:`StringDtype` objects on the right now cast the string to bool, with a deprecation warning (:issue:`60234`)
-- Fixed ``~Series.str.match`` and ``~Series.str.fullmatch`` with compiled regex
-  for the Arrow-backed string dtype (:issue:`61964`)
+- Fixed ``~Series.str.match``, ``~Series.str.fullmatch`` and ``~Series.str.contains``
+  with compiled regex for the Arrow-backed string dtype (:issue:`61964`, :issue:`61942`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_232.contributors:
diff --git a/pandas/core/arrays/string_arrow.py b/pandas/core/arrays/string_arrow.py
index af446eb0da04a..39e84a3abdcf5 100644
--- a/pandas/core/arrays/string_arrow.py
+++ b/pandas/core/arrays/string_arrow.py
@@ -346,6 +346,8 @@ def _str_contains(
     ):
         if flags:
             return super()._str_contains(pat, case, flags, na, regex)
+        if isinstance(pat, re.Pattern):
+            pat = pat.pattern
 
         return ArrowStringArrayMixin._str_contains(self, pat, case, flags, na, regex)
 
diff --git a/pandas/tests/strings/test_find_replace.py b/pandas/tests/strings/test_find_replace.py
index 598626318e66b..cce96f38d216a 100644
--- a/pandas/tests/strings/test_find_replace.py
+++ b/pandas/tests/strings/test_find_replace.py
@@ -281,6 +281,19 @@ def test_contains_nan(any_string_dtype):
     tm.assert_series_equal(result, expected)
 
 
+def test_contains_compiled_regex(any_string_dtype):
+    # GH#61942
+    ser = Series(["foo", "bar", "baz"], dtype=any_string_dtype)
+    pat = re.compile("ba.")
+    result = ser.str.contains(pat)
+
+    expected_dtype = (
+        np.bool_ if is_object_or_nan_string_dtype(any_string_dtype) else "boolean"
+    )
+    expected = Series([False, True, True], dtype=expected_dtype)
+    tm.assert_series_equal(result, expected)
+
+
 # --------------------------------------------------------------------------------------
 # str.startswith
 # --------------------------------------------------------------------------------------