diff --git a/pandas/core/common.py b/pandas/core/common.py
index 11c6d8ea1a821..6d419098bf279 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -32,6 +32,7 @@
 import numpy as np
 
 from pandas._libs import lib
+from pandas.compat.numpy import np_version_gte1p24
 
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
@@ -236,7 +237,8 @@ def asarray_tuplesafe(values: Iterable, dtype: NpDtype | None = None) -> ArrayLi
     try:
         with warnings.catch_warnings():
             # Can remove warning filter once NumPy 1.24 is min version
-            warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
+            if not np_version_gte1p24:
+                warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
             result = np.asarray(values, dtype=dtype)
     except ValueError:
         # Using try/except since it's more performant than checking is_list_like
diff --git a/pandas/tests/indexes/test_common.py b/pandas/tests/indexes/test_common.py
index e29fc12f118f4..05834b02a5ff3 100644
--- a/pandas/tests/indexes/test_common.py
+++ b/pandas/tests/indexes/test_common.py
@@ -13,6 +13,7 @@
 import pytest
 
 from pandas.compat import IS64
+from pandas.compat.numpy import np_version_gte1p25
 
 from pandas.core.dtypes.common import (
     is_integer_dtype,
@@ -389,7 +390,10 @@ def test_astype_preserves_name(self, index, dtype):
         warn = None
         if index.dtype.kind == "c" and dtype in ["float64", "int64", "uint64"]:
             # imaginary components discarded
-            warn = np.ComplexWarning
+            if np_version_gte1p25:
+                warn = np.exceptions.ComplexWarning
+            else:
+                warn = np.ComplexWarning
 
         is_pyarrow_str = str(index.dtype) == "string[pyarrow]" and dtype == "category"
         try: