diff --git a/pandas/core/arrays/sparse/array.py b/pandas/core/arrays/sparse/array.py
index bed64efc690ec..69d89e2f32203 100644
--- a/pandas/core/arrays/sparse/array.py
+++ b/pandas/core/arrays/sparse/array.py
@@ -42,6 +42,7 @@
 from pandas.compat.numpy import function as nv
 from pandas.errors import PerformanceWarning
 from pandas.util._exceptions import find_stack_level
+from pandas.util._validators import validate_insert_loc
 
 from pandas.core.dtypes.cast import (
     astype_nansafe,
@@ -81,7 +82,10 @@
     extract_array,
     sanitize_array,
 )
-from pandas.core.indexers import check_array_indexer
+from pandas.core.indexers import (
+    check_array_indexer,
+    unpack_tuple_and_ellipses,
+)
 from pandas.core.missing import interpolate_2d
 from pandas.core.nanops import check_below_min_count
 import pandas.core.ops as ops
@@ -878,16 +882,13 @@ def __getitem__(
     ) -> SparseArrayT | Any:
 
         if isinstance(key, tuple):
-            if len(key) > 1:
-                if key[0] is Ellipsis:
-                    key = key[1:]
-                elif key[-1] is Ellipsis:
-                    key = key[:-1]
-            if len(key) > 1:
-                raise IndexError("too many indices for array.")
-            if key[0] is Ellipsis:
+            key = unpack_tuple_and_ellipses(key)
+            # Non-overlapping identity check (left operand type:
+            # "Union[Union[Union[int, integer[Any]], Union[slice, List[int],
+            # ndarray[Any, Any]]], Tuple[Union[int, ellipsis], ...]]",
+            # right operand type: "ellipsis")
+            if key is Ellipsis:  # type: ignore[comparison-overlap]
                 raise ValueError("Cannot slice with Ellipsis")
-            key = key[0]
 
         if is_integer(key):
             return self._get_val_at(key)
@@ -952,12 +953,7 @@ def __getitem__(
         return type(self)(data_slice, kind=self.kind)
 
     def _get_val_at(self, loc):
-        n = len(self)
-        if loc < 0:
-            loc += n
-
-        if loc >= n or loc < 0:
-            raise IndexError("Out of bounds access")
+        loc = validate_insert_loc(loc, len(self))
 
         sp_loc = self.sp_index.lookup(loc)
         if sp_loc == -1:
diff --git a/pandas/core/arrays/string_arrow.py b/pandas/core/arrays/string_arrow.py
index 4e3bd05d2cc8d..e6058ad9dbaf2 100644
--- a/pandas/core/arrays/string_arrow.py
+++ b/pandas/core/arrays/string_arrow.py
@@ -58,6 +58,7 @@
 )
 from pandas.core.indexers import (
     check_array_indexer,
+    unpack_tuple_and_ellipses,
     validate_indices,
 )
 from pandas.core.strings.object_array import ObjectStringArrayMixin
@@ -313,14 +314,7 @@ def __getitem__(
                     "boolean arrays are valid indices."
                 )
         elif isinstance(item, tuple):
-            # possibly unpack arr[..., n] to arr[n]
-            if len(item) == 1:
-                item = item[0]
-            elif len(item) == 2:
-                if item[0] is Ellipsis:
-                    item = item[1]
-                elif item[1] is Ellipsis:
-                    item = item[0]
+            item = unpack_tuple_and_ellipses(item)
 
         # We are not an array indexer, so maybe e.g. a slice or integer
         # indexer. We dispatch to pyarrow.
diff --git a/pandas/core/indexers/__init__.py b/pandas/core/indexers/__init__.py
index 1558b03162d22..86ec36144b134 100644
--- a/pandas/core/indexers/__init__.py
+++ b/pandas/core/indexers/__init__.py
@@ -11,6 +11,7 @@
     length_of_indexer,
     maybe_convert_indices,
     unpack_1tuple,
+    unpack_tuple_and_ellipses,
     validate_indices,
 )
 
@@ -28,4 +29,5 @@
     "unpack_1tuple",
     "check_key_length",
     "check_array_indexer",
+    "unpack_tuple_and_ellipses",
 ]
diff --git a/pandas/core/indexers/utils.py b/pandas/core/indexers/utils.py
index cf9be5eb95eb4..bc51dbd54d010 100644
--- a/pandas/core/indexers/utils.py
+++ b/pandas/core/indexers/utils.py
@@ -435,6 +435,24 @@ def check_key_length(columns: Index, key, value: DataFrame) -> None:
             raise ValueError("Columns must be same length as key")
 
 
+def unpack_tuple_and_ellipses(item: tuple):
+    """
+    Possibly unpack arr[..., n] to arr[n]
+    """
+    if len(item) > 1:
+        # Note: we are assuming this indexing is being done on a 1D arraylike
+        if item[0] is Ellipsis:
+            item = item[1:]
+        elif item[-1] is Ellipsis:
+            item = item[:-1]
+
+    if len(item) > 1:
+        raise IndexError("too many indices for array.")
+
+    item = item[0]
+    return item
+
+
 # -----------------------------------------------------------
 # Public indexer validation
 
diff --git a/pandas/tests/arrays/sparse/test_array.py b/pandas/tests/arrays/sparse/test_array.py
index 07ae7511bb333..96021bfa18fb7 100644
--- a/pandas/tests/arrays/sparse/test_array.py
+++ b/pandas/tests/arrays/sparse/test_array.py
@@ -258,7 +258,7 @@ def test_get_item(self):
         assert self.zarr[2] == 1
         assert self.zarr[7] == 5
 
-        errmsg = re.compile("bounds")
+        errmsg = "must be an integer between -10 and 10"
 
         with pytest.raises(IndexError, match=errmsg):
             self.arr[11]
diff --git a/pandas/tests/extension/json/array.py b/pandas/tests/extension/json/array.py
index 2eef828288e59..e3e5e092f143b 100644
--- a/pandas/tests/extension/json/array.py
+++ b/pandas/tests/extension/json/array.py
@@ -40,6 +40,7 @@
     ExtensionDtype,
 )
 from pandas.api.types import is_bool_dtype
+from pandas.core.indexers import unpack_tuple_and_ellipses
 
 
 class JSONDtype(ExtensionDtype):
@@ -86,14 +87,7 @@ def _from_factorized(cls, values, original):
 
     def __getitem__(self, item):
         if isinstance(item, tuple):
-            if len(item) > 1:
-                if item[0] is Ellipsis:
-                    item = item[1:]
-                elif item[-1] is Ellipsis:
-                    item = item[:-1]
-            if len(item) > 1:
-                raise IndexError("too many indices for array.")
-            item = item[0]
+            item = unpack_tuple_and_ellipses(item)
 
         if isinstance(item, numbers.Integral):
             return self.data[item]