diff --git a/src/numpy-stubs/__init__.pyi b/src/numpy-stubs/__init__.pyi
index 78521987..d4af50a0 100644
--- a/src/numpy-stubs/__init__.pyi
+++ b/src/numpy-stubs/__init__.pyi
@@ -342,7 +342,6 @@ from ._typing import (
     _ArrayLikeObject_co,
     _ArrayLikeTD64_co,
     _DTypeLike,
-    _DTypeLikeVoid,
     _NestedSequence,
     _NumberLike_co,
     _ScalarLike_co,
@@ -5026,7 +5025,7 @@ class void(flexible[bytes | tuple[Any, ...]]):  # type: ignore[misc]  # pyright:
     @overload
     def __new__(cls, length_or_data: _nt.CoInteger_0d | bytes, /, dtype: None = None) -> Self: ...
     @overload
-    def __new__(cls, length_or_data: object, /, dtype: _DTypeLikeVoid) -> Self: ...
+    def __new__(cls, length_or_data: object, /, dtype: _nt.ToDTypeVoid) -> Self: ...
 
     #
     @type_check_only
diff --git a/src/numpy-stubs/_core/einsumfunc.pyi b/src/numpy-stubs/_core/einsumfunc.pyi
index fd27c45e..fc9ce33e 100644
--- a/src/numpy-stubs/_core/einsumfunc.pyi
+++ b/src/numpy-stubs/_core/einsumfunc.pyi
@@ -12,13 +12,6 @@ from numpy._typing import (
     _ArrayLikeInt_co,
     _ArrayLikeObject_co,
     _ArrayLikeUInt_co,
-    _DTypeLikeBool,
-    _DTypeLikeComplex,
-    _DTypeLikeComplex_co,
-    _DTypeLikeFloat,
-    _DTypeLikeInt,
-    _DTypeLikeObject,
-    _DTypeLikeUInt,
 )
 
 __all__ = ["einsum", "einsum_path"]
@@ -30,6 +23,16 @@ _OptimizeKind: TypeAlias = bool | Literal["greedy", "optimal"] | Sequence[str |
 _CastingSafe: TypeAlias = Literal["no", "equiv", "safe", "same_kind", "same_value"]
 _CastingUnsafe: TypeAlias = Literal["unsafe"]
 
+_ToDTypeBool: TypeAlias = _nt.ToDTypeBool
+_ToDTypeUInt: TypeAlias = (
+    _nt.ToDTypeUInt8 | _nt.ToDTypeUInt16 | _nt.ToDTypeUInt32 | _nt.ToDTypeUInt64 | _nt.ToDTypeULong
+)
+_ToDTypeInt: TypeAlias = _nt.ToDTypeInt8 | _nt.ToDTypeInt16 | _nt.ToDTypeInt32 | _nt.ToDTypeInt64 | _nt.ToDTypeLong
+_ToDTypeFloat: TypeAlias = _nt.ToDTypeFloat16 | _nt.ToDTypeFloat32 | _nt.ToDTypeFloat64 | _nt.ToDTypeLongDouble
+_ToDTypeComplex: TypeAlias = _nt.ToDTypeComplex64 | _nt.ToDTypeComplex128 | _nt.ToDTypeCLongDouble
+_ToDTypeComplex_co: TypeAlias = _ToDTypeBool | _ToDTypeUInt | _ToDTypeInt | _ToDTypeFloat | _ToDTypeComplex
+_ToDTypeObject: TypeAlias = _nt.ToDTypeObject
+
 # TODO: Properly handle the `casting`-based combinatorics
 # TODO: We need to evaluate the content `__subscripts` in order
 # to identify whether or an array or scalar is returned. At a cursory
@@ -43,7 +46,7 @@ def einsum(
     *operands: _ArrayLikeBool_co,
     out: None = None,
     optimize: _OptimizeKind = False,
-    dtype: _DTypeLikeBool | None = None,
+    dtype: _ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
 ) -> Incomplete: ...
@@ -53,7 +56,7 @@ def einsum(
     /,
     *operands: _ArrayLikeUInt_co,
     out: None = None,
-    dtype: _DTypeLikeUInt | None = None,
+    dtype: _ToDTypeUInt | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -64,7 +67,7 @@ def einsum(
     /,
     *operands: _ArrayLikeInt_co,
     out: None = None,
-    dtype: _DTypeLikeInt | None = None,
+    dtype: _ToDTypeInt | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -75,7 +78,7 @@ def einsum(
     /,
     *operands: _ArrayLikeFloat_co,
     out: None = None,
-    dtype: _DTypeLikeFloat | None = None,
+    dtype: _ToDTypeFloat | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -86,7 +89,7 @@ def einsum(
     /,
     *operands: _ArrayLikeComplex_co,
     out: None = None,
-    dtype: _DTypeLikeComplex | None = None,
+    dtype: _ToDTypeComplex | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -97,7 +100,7 @@ def einsum(
     /,
     *operands: Any,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeComplex_co | None = None,
+    dtype: _ToDTypeComplex_co | None = None,
     out: None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
@@ -108,7 +111,7 @@ def einsum(
     /,
     *operands: _ArrayLikeComplex_co,
     out: _ArrayT,
-    dtype: _DTypeLikeComplex_co | None = None,
+    dtype: _ToDTypeComplex_co | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -120,7 +123,7 @@ def einsum(
     *operands: Any,
     out: _ArrayT,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeComplex_co | None = None,
+    dtype: _ToDTypeComplex_co | None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
@@ -130,7 +133,7 @@ def einsum(
     /,
     *operands: _ArrayLikeObject_co,
     out: None = None,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -141,7 +144,7 @@ def einsum(
     /,
     *operands: Any,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _ToDTypeObject | None = None,
     out: None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
@@ -152,7 +155,7 @@ def einsum(
     /,
     *operands: _ArrayLikeObject_co,
     out: _ArrayT,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -164,7 +167,7 @@ def einsum(
     *operands: Any,
     out: _ArrayT,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
@@ -175,7 +178,7 @@ def einsum(
 def einsum_path(
     subscripts: str | _ArrayLikeInt_co,
     /,
-    *operands: _ArrayLikeComplex_co | _DTypeLikeObject,
+    *operands: _ArrayLikeComplex_co | _ToDTypeObject,
     optimize: _OptimizeKind = "greedy",
     einsum_call: L[False] = False,
 ) -> tuple[list[str | tuple[int, ...]], str]: ...
diff --git a/src/numpy-stubs/_core/umath.pyi b/src/numpy-stubs/_core/umath.pyi
index c77b7221..d2605d46 100644
--- a/src/numpy-stubs/_core/umath.pyi
+++ b/src/numpy-stubs/_core/umath.pyi
@@ -18,12 +18,7 @@ from typing_extensions import TypeAliasType, TypeVar, Unpack
 import _numtype as _nt
 import numpy as np
 from numpy import _CastingKind, _OrderKACF  # noqa: ICN003
-from numpy._typing import (
-    _DTypeLike as _ToDType,
-    _DTypeLikeComplex as _ToDTypeComplex,
-    _DTypeLikeFloat as _ToDTypeFloat,
-    _ShapeLike,
-)
+from numpy._typing import _ShapeLike
 
 from . import _multiarray_umath as _multiarray_umath
 from ._multiarray_umath import (
@@ -192,6 +187,10 @@ _ToStringLike: TypeAlias = bytes | str | np.character
 _CoFloat: TypeAlias = float | _nt.co_float
 _CoComplex: TypeAlias = complex | _nt.co_complex
 
+_ToDType = TypeAliasType("_ToDType", _nt._ToDType[_ScalarT], type_params=(_ScalarT,))
+_ToDTypeFloat: TypeAlias = _nt.ToDTypeFloat16 | _nt.ToDTypeFloat32 | _nt.ToDTypeFloat64 | _nt.ToDTypeLongDouble
+_ToDTypeComplex: TypeAlias = _nt.ToDTypeComplex64 | _nt.ToDTypeComplex128 | _nt.ToDTypeCLongDouble
+
 _ToDTypeInexact: TypeAlias = _ToDTypeFloat | _ToDTypeComplex
 
 _BoolND: TypeAlias = _nt.Array[np.bool_]
diff --git a/src/numpy-stubs/_typing/__init__.pyi b/src/numpy-stubs/_typing/__init__.pyi
index 92b12314..faebb2c9 100644
--- a/src/numpy-stubs/_typing/__init__.pyi
+++ b/src/numpy-stubs/_typing/__init__.pyi
@@ -79,18 +79,6 @@ from ._char_codes import (
 from ._dtype_like import (
     DTypeLike as DTypeLike,
     _DTypeLike as _DTypeLike,
-    _DTypeLikeBool as _DTypeLikeBool,
-    _DTypeLikeBytes as _DTypeLikeBytes,
-    _DTypeLikeComplex as _DTypeLikeComplex,
-    _DTypeLikeComplex_co as _DTypeLikeComplex_co,
-    _DTypeLikeDT64 as _DTypeLikeDT64,
-    _DTypeLikeFloat as _DTypeLikeFloat,
-    _DTypeLikeInt as _DTypeLikeInt,
-    _DTypeLikeObject as _DTypeLikeObject,
-    _DTypeLikeStr as _DTypeLikeStr,
-    _DTypeLikeTD64 as _DTypeLikeTD64,
-    _DTypeLikeUInt as _DTypeLikeUInt,
-    _DTypeLikeVoid as _DTypeLikeVoid,
     _SupportsDType as _SupportsDType,
     _VoidDTypeLike as _VoidDTypeLike,
 )
diff --git a/src/numpy-stubs/_typing/_dtype_like.pyi b/src/numpy-stubs/_typing/_dtype_like.pyi
index dfd68a3f..595e407e 100644
--- a/src/numpy-stubs/_typing/_dtype_like.pyi
+++ b/src/numpy-stubs/_typing/_dtype_like.pyi
@@ -5,21 +5,6 @@ from typing_extensions import TypeVar
 
 import numpy as np
 
-from ._char_codes import (
-    _BoolCodes,
-    _BytesCodes,
-    _ComplexFloatingCodes,
-    _DT64Codes,
-    _FloatingCodes,
-    _NumberCodes,
-    _ObjectCodes,
-    _SignedIntegerCodes,
-    _StrCodes,
-    _TD64Codes,
-    _UnsignedIntegerCodes,
-    _VoidCodes,
-)
-
 _ScalarT = TypeVar("_ScalarT", bound=np.generic)
 _DTypeT = TypeVar("_DTypeT", bound=np.dtype)
 _DTypeT_co = TypeVar("_DTypeT_co", covariant=True, bound=np.dtype)
@@ -56,26 +41,6 @@ _DTypeLike: TypeAlias = type[_ScalarT] | np.dtype[_ScalarT] | _SupportsDType[np.
 # Would create a dtype[np.void]
 _VoidDTypeLike: TypeAlias = tuple[Any, Any] | list[Any] | _DTypeDict
 
-# TODO(jorenahm): remove these `_DTypeLike*` aliases in favor of `_numtype.ToDType*`:
-# https://github.com/numpy/numtype/issues/566
-# ruff: noqa: PYI047
-
-# Aliases for commonly used dtype-like objects.
-# Note that the precision of `np.number` subclasses is ignored herein.
-_DTypeLikeBool: TypeAlias = type[bool] | _DTypeLike[np.bool] | _BoolCodes
-_DTypeLikeUInt: TypeAlias = _DTypeLike[np.unsignedinteger] | _UnsignedIntegerCodes
-_DTypeLikeInt: TypeAlias = type[int] | _DTypeLike[np.signedinteger] | _SignedIntegerCodes
-_DTypeLikeFloat: TypeAlias = type[float] | _DTypeLike[np.floating] | _FloatingCodes
-_DTypeLikeComplex: TypeAlias = type[complex] | _DTypeLike[np.complexfloating] | _ComplexFloatingCodes
-_DTypeLikeDT64: TypeAlias = _DTypeLike[np.timedelta64] | _TD64Codes
-_DTypeLikeTD64: TypeAlias = _DTypeLike[np.datetime64] | _DT64Codes
-_DTypeLikeStr: TypeAlias = type[str] | _DTypeLike[np.str_] | _StrCodes
-_DTypeLikeBytes: TypeAlias = type[bytes] | _DTypeLike[np.bytes_] | _BytesCodes
-_DTypeLikeVoid: TypeAlias = _DTypeLike[np.void] | _VoidCodes | _VoidDTypeLike
-_DTypeLikeObject: TypeAlias = type | _DTypeLike[np.object_] | _ObjectCodes
-
-_DTypeLikeComplex_co: TypeAlias = type[complex] | _DTypeLike[np.number] | _NumberCodes | _BoolCodes
-
 # NOTE: while it is possible to provide the dtype as a dict of
 # dtype-like objects (e.g. `{'field1': ..., 'field2': ..., ...}`),
 # this syntax is officially discouraged and
diff --git a/src/numpy-stubs/lib/recfunctions.pyi b/src/numpy-stubs/lib/recfunctions.pyi
index c009886d..afd76f75 100644
--- a/src/numpy-stubs/lib/recfunctions.pyi
+++ b/src/numpy-stubs/lib/recfunctions.pyi
@@ -6,7 +6,7 @@ from typing_extensions import TypeVar
 import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _DTypeLike, _DTypeLikeVoid
+from numpy._typing import _DTypeLike
 from numpy.ma.mrecords import MaskedRecords
 
 __all__ = [
@@ -274,7 +274,7 @@ def assign_fields_by_name(dst: _nt.Array[np.void], src: _nt.Array[np.void], zero
 
 #
 def require_fields(
-    array: _nt.Array[np.void, _ShapeT], required_dtype: _DTypeLikeVoid
+    array: _nt.Array[np.void, _ShapeT], required_dtype: _nt.ToDTypeVoid
 ) -> _nt.Array[np.void, _ShapeT]: ...
 
 # TODO(jorenham): Attempt shape-typing
diff --git a/src/numpy-stubs/random/_generator.pyi b/src/numpy-stubs/random/_generator.pyi
index 81d4df5f..b21e67ec 100644
--- a/src/numpy-stubs/random/_generator.pyi
+++ b/src/numpy-stubs/random/_generator.pyi
@@ -6,7 +6,7 @@ from typing_extensions import TypeVar, override
 import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike, _ShapeLike
+from numpy._typing import _ArrayLike, _BoolCodes, _ShapeLike
 from numpy.random import BitGenerator, RandomState, SeedSequence
 
 ###
@@ -15,7 +15,7 @@ _ScalarT = TypeVar("_ScalarT", bound=np.generic)
 _IntegerT = TypeVar("_IntegerT", bound=_nt.co_integer)
 _ShapeT = TypeVar("_ShapeT", bound=_nt.Shape)
 
-_DTypeLikeFloat: TypeAlias = _nt.ToDTypeFloat32 | _nt.ToDTypeFloat64
+_ToDTypeFloat: TypeAlias = _nt.ToDTypeFloat32 | _nt.ToDTypeFloat64
 _CoInt_nnd: TypeAlias = _nt._ToArray_nnd[_nt.co_integer]
 _CoFloat_nnd: TypeAlias = _nt._ToArray_nnd[_nt.co_float]
 
@@ -139,7 +139,7 @@ class Generator:
 
     #
     @overload
-    def random(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
+    def random(self, /, size: None = None, dtype: _ToDTypeFloat = ..., out: None = None) -> float: ...
     @overload
     def random(
         self, /, size: _ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64, _ShapeT]
@@ -233,7 +233,7 @@ class Generator:
     #
     @overload
     def standard_exponential(
-        self, /, size: None = None, dtype: _DTypeLikeFloat = ..., method: _ExpMethod = "zig", out: None = None
+        self, /, size: None = None, dtype: _ToDTypeFloat = ..., method: _ExpMethod = "zig", out: None = None
     ) -> float: ...
     @overload
     def standard_exponential(
@@ -448,7 +448,7 @@ class Generator:
 
     #
     @overload
-    def standard_normal(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
+    def standard_normal(self, /, size: None = None, dtype: _ToDTypeFloat = ..., out: None = None) -> float: ...
     @overload
     def standard_normal(
         self, /, size: _ShapeLike | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64]
@@ -575,7 +575,7 @@ class Generator:
     ) -> float | _nt.Array[np.float32]: ...
     @overload
     def standard_gamma(
-        self, /, shape: _nt.CoFloating_0d, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None
+        self, /, shape: _nt.CoFloating_0d, size: None = None, dtype: _ToDTypeFloat = ..., out: None = None
     ) -> float: ...
     @overload
     def standard_gamma(
@@ -737,7 +737,7 @@ class Generator:
         low: int,
         high: int | None = None,
         size: None = None,
-        dtype: _DTypeLike[np.int64] = ...,
+        dtype: _nt._ToDType[np.int64] = ...,
         endpoint: bool = False,
     ) -> np.int64: ...
     @overload
@@ -752,7 +752,7 @@ class Generator:
         high: int | None = None,
         size: None = None,
         *,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _IntegerT: ...
     @overload
@@ -847,7 +847,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
         size: _ShapeLike,
-        dtype: _DTypeLike[np.int64] = ...,
+        dtype: _nt._ToDType[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
     @overload
@@ -857,7 +857,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
         size: _ShapeLike,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
     @overload
@@ -958,7 +958,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _ShapeLike,
-        dtype: _DTypeLike[np.int64] = ...,
+        dtype: _nt._ToDType[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
     @overload
@@ -969,7 +969,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _ShapeLike,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
     @overload
@@ -1090,7 +1090,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         size: _ShapeLike | None = None,
         *,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _IntegerT | _nt.Array[_IntegerT]: ...
     @overload
diff --git a/src/numpy-stubs/random/bit_generator.pyi b/src/numpy-stubs/random/bit_generator.pyi
index 3c3009cc..cbc1847f 100644
--- a/src/numpy-stubs/random/bit_generator.pyi
+++ b/src/numpy-stubs/random/bit_generator.pyi
@@ -18,7 +18,7 @@ from typing_extensions import CapsuleType, TypeVar, override
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import _ArrayLikeInt_co, _DTypeLike, _ShapeLike, _UInt32Codes, _UInt64Codes
+from numpy._typing import _ArrayLikeInt_co, _ShapeLike
 
 __all__ = ["BitGenerator", "SeedSequence"]
 
@@ -26,8 +26,8 @@ __all__ = ["BitGenerator", "SeedSequence"]
 
 _StateT = TypeVar("_StateT", bound=Mapping[str, object], default=Mapping[str, Any])
 
-_ToDTypeUInt32: TypeAlias = _DTypeLike[np.uint32] | _UInt32Codes
-_ToDTypeUInt64: TypeAlias = _DTypeLike[np.uint64] | _UInt64Codes
+_ToDTypeUInt32: TypeAlias = _nt.ToDTypeUInt32
+_ToDTypeUInt64: TypeAlias = _nt.ToDTypeUInt64
 
 ###
 
diff --git a/src/numpy-stubs/random/mtrand.pyi b/src/numpy-stubs/random/mtrand.pyi
index be3897b9..dcf1b535 100644
--- a/src/numpy-stubs/random/mtrand.pyi
+++ b/src/numpy-stubs/random/mtrand.pyi
@@ -6,7 +6,7 @@ from typing_extensions import TypeVar, override
 import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _ArrayLike, _BoolCodes, _DTypeLike, _ShapeLike
+from numpy._typing import _ArrayLike, _BoolCodes, _ShapeLike
 from numpy.random.bit_generator import BitGenerator
 
 __all__ = [
@@ -481,7 +481,7 @@ class RandomState:
     def randint(self, /, low: int, high: int | None = None, size: None = None, *, dtype: type[_nt.JustInt]) -> int: ...
     @overload
     def randint(  # type: ignore[overload-overlap]
-        self, /, low: int, high: int | None = None, size: None = None, *, dtype: _DTypeLike[_IntegerT]
+        self, /, low: int, high: int | None = None, size: None = None, *, dtype: _nt._ToDType[_IntegerT]
     ) -> _IntegerT: ...
     @overload
     def randint(self, /, low: int, high: int | None = None, size: None = None, *, dtype: _BoolCodes) -> np.bool: ...
@@ -525,7 +525,7 @@ class RandomState:
     ) -> _nt.Array[np.bool]: ...
     @overload
     def randint(  # type: ignore[overload-overlap]
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _DTypeLike[_IntegerT]
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _ShapeLike, dtype: _nt._ToDType[_IntegerT]
     ) -> _nt.Array[_IntegerT]: ...
     @overload
     def randint(
@@ -581,7 +581,7 @@ class RandomState:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _ShapeLike,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
     ) -> _nt.Array[_IntegerT]: ...
     @overload
     def randint(
@@ -685,7 +685,7 @@ class RandomState:
         high: _nt.CoInteger_nd | None = None,
         size: _ShapeLike | None = None,
         *,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
     ) -> _IntegerT | _nt.Array[_IntegerT]: ...
     @overload
     def randint(