diff --git a/src/numpy-stubs/__init__.pyi b/src/numpy-stubs/__init__.pyi
index a2692168..ccd97c98 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,
@@ -5025,7 +5024,7 @@ 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..0eec57a1 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 +23,14 @@ _OptimizeKind: TypeAlias = bool | Literal["greedy", "optimal"] | Sequence[str |
 _CastingSafe: TypeAlias = Literal["no", "equiv", "safe", "same_kind", "same_value"]
 _CastingUnsafe: TypeAlias = Literal["unsafe"]
 
+_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 = _nt.ToDTypeBool | _ToDTypeUInt | _ToDTypeInt | _ToDTypeFloat | _ToDTypeComplex
+
 # 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 +44,7 @@ def einsum(
     *operands: _ArrayLikeBool_co,
     out: None = None,
     optimize: _OptimizeKind = False,
-    dtype: _DTypeLikeBool | None = None,
+    dtype: _nt.ToDTypeBool | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
 ) -> Incomplete: ...
@@ -53,7 +54,7 @@ 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 +65,7 @@ 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 +76,7 @@ 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 +87,7 @@ 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 +98,7 @@ 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 +109,7 @@ 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 +121,7 @@ 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 +131,7 @@ def einsum(
     /,
     *operands: _ArrayLikeObject_co,
     out: None = None,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _nt.ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -141,7 +142,7 @@ def einsum(
     /,
     *operands: Any,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _nt.ToDTypeObject | None = None,
     out: None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
@@ -152,7 +153,7 @@ def einsum(
     /,
     *operands: _ArrayLikeObject_co,
     out: _ArrayT,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _nt.ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
     optimize: _OptimizeKind = False,
@@ -164,7 +165,7 @@ def einsum(
     *operands: Any,
     out: _ArrayT,
     casting: _CastingUnsafe,
-    dtype: _DTypeLikeObject | None = None,
+    dtype: _nt.ToDTypeObject | None = None,
     order: _OrderKACF = "K",
     optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
@@ -175,7 +176,7 @@ def einsum(
 def einsum_path(
     subscripts: str | _ArrayLikeInt_co,
     /,
-    *operands: _ArrayLikeComplex_co | _DTypeLikeObject,
+    *operands: _ArrayLikeComplex_co | _nt.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 29fa38e6..07ec4ad2 100644
--- a/src/numpy-stubs/_core/umath.pyi
+++ b/src/numpy-stubs/_core/umath.pyi
@@ -18,7 +18,6 @@ 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
 
 from . import _multiarray_umath as _multiarray_umath
 from ._multiarray_umath import (
@@ -187,6 +186,9 @@ _ToStringLike: TypeAlias = bytes | str | np.character
 _CoFloat: TypeAlias = float | _nt.co_float
 _CoComplex: TypeAlias = complex | _nt.co_complex
 
+_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_]
@@ -250,7 +252,7 @@ class _Kwargs3_g(_KwargsCommon, total=False):
 class _Call11(Protocol):
     @overload  # 0d, dtype: T
     def __call__(
-        self, x: _ToScalar, /, out: _Out1[None] = None, *, dtype: _ToDType[_ScalarT], **kw: Unpack[_Kwargs2]
+        self, x: _ToScalar, /, out: _Out1[None] = None, *, dtype: _nt._ToDType[_ScalarT], **kw: Unpack[_Kwargs2]
     ) -> _ScalarT: ...
     @overload  # 0d
     def __call__(
@@ -262,7 +264,7 @@ class _Call11(Protocol):
     ) -> _ArrayT: ...
     @overload  # ?d, out=..., dtype: T
     def __call__(
-        self, x: _nt.ToGeneric_nd, /, out: EllipsisType, *, dtype: _ToDType[_ScalarT], **kw: Unpack[_Kwargs2]
+        self, x: _nt.ToGeneric_nd, /, out: EllipsisType, *, dtype: _nt._ToDType[_ScalarT], **kw: Unpack[_Kwargs2]
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # nd, dtype: T
     def __call__(
@@ -271,7 +273,7 @@ class _Call11(Protocol):
         /,
         out: _Out1[_nt.Array | None] = None,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs2],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # nd
@@ -834,7 +836,7 @@ class _Call11String(Protocol[_ScalarT_co]):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs2],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d string-like, out=..., dtype: T
@@ -844,7 +846,7 @@ class _Call11String(Protocol[_ScalarT_co]):
         /,
         out: EllipsisType,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs2],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?
@@ -862,7 +864,7 @@ class _Call11String(Protocol[_ScalarT_co]):
 class _Call12(Protocol):
     @overload  # 0d, dtype: T
     def __call__(
-        self, x: _ToScalar, /, *, out: _Out2[None] = ..., dtype: _ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
+        self, x: _ToScalar, /, *, out: _Out2[None] = ..., dtype: _nt._ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
     ) -> _Out2[_ScalarT]: ...
     @overload  # 0d
     def __call__(
@@ -886,11 +888,11 @@ class _Call12(Protocol):
     ) -> tuple[_nt.Array[Incomplete], _nt.Array[Incomplete]]: ...
     @overload  # ?d, out=..., dtype: T
     def __call__(
-        self, x: _nt.ToGeneric_nd, /, *, out: EllipsisType, dtype: _ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
+        self, x: _nt.ToGeneric_nd, /, *, out: EllipsisType, dtype: _nt._ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
     ) -> tuple[_nt.Array[_ScalarT], _nt.Array[_ScalarT]]: ...
     @overload  # nd, dtype: T
     def __call__(
-        self, x: _nt.ToGeneric_1nd, /, *, out: _Out2[None] = ..., dtype: _ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
+        self, x: _nt.ToGeneric_1nd, /, *, out: _Out2[None] = ..., dtype: _nt._ToDType[_ScalarT], **kw: Unpack[_Kwargs3]
     ) -> _Out2[_nt.Array[_ScalarT]]: ...
     @overload  # nd
     def __call__(
@@ -923,7 +925,7 @@ class _Call21(Protocol):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs3],
     ) -> _ScalarT: ...
     @overload  # 0d, 0d
@@ -942,7 +944,7 @@ class _Call21(Protocol):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # nd, ?d, dtype: T
@@ -953,7 +955,7 @@ class _Call21(Protocol):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d, ?d, out=..., dtype: T
@@ -964,7 +966,7 @@ class _Call21(Protocol):
         /,
         out: EllipsisType,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d, nd
@@ -1201,7 +1203,7 @@ class _Call21Float(Protocol):
         /,
         out: EllipsisType,
         *,
-        dtype: _ToDType[_FloatT],
+        dtype: _nt._ToDType[_FloatT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_FloatT]: ...
     @overload  # ?d +floating, nd +floating, dtype: T
@@ -1212,7 +1214,7 @@ class _Call21Float(Protocol):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_FloatT],
+        dtype: _nt._ToDType[_FloatT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_FloatT]: ...
     @overload  # nd +floating, ?d +floating, dtype: T
@@ -1223,7 +1225,7 @@ class _Call21Float(Protocol):
         /,
         out: _Out1[None] = None,
         *,
-        dtype: _ToDType[_FloatT],
+        dtype: _nt._ToDType[_FloatT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_FloatT]: ...
     @overload  # ?d +floating, nd ~floating
@@ -1443,7 +1445,7 @@ class _Call22(Protocol):
         /,
         *,
         out: _Out2[None] = ...,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs4],
     ) -> _Out2[_ScalarT]: ...
     @overload  # 0d, 0d
@@ -1465,7 +1467,7 @@ class _Call22(Protocol):
         /,
         *,
         out: _Out2[_nt.Array[_ScalarT] | None] = ...,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs4],
     ) -> _Out2[_nt.Array[_ScalarT]]: ...
     @overload  # ?d, nd, dtype: T
@@ -1476,7 +1478,7 @@ class _Call22(Protocol):
         /,
         *,
         out: _Out2[_nt.Array[_ScalarT] | None] = ...,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs4],
     ) -> _Out2[_nt.Array[_ScalarT]]: ...
     @overload  # ?d, ?d, out=..., dtype: T
@@ -1487,7 +1489,7 @@ class _Call22(Protocol):
         /,
         *,
         out: EllipsisType,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs4],
     ) -> _Out2[_nt.Array[_ScalarT]]: ...
     @overload  # ?d, ?d, out: (T1, None)
@@ -1634,7 +1636,7 @@ class _Accumulate2(Protocol):
         a: _nt.ToGeneric_nd,
         /,
         axis: SupportsIndex,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         out: _nt.Array[_ScalarT] | EllipsisType | None = None,
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d, *, dtype: T
@@ -1644,7 +1646,7 @@ class _Accumulate2(Protocol):
         /,
         axis: SupportsIndex = 0,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         out: _Out1[None] | EllipsisType = None,
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d
@@ -1685,7 +1687,7 @@ class _ReduceAt2(Protocol):
         ixs: _nt.CoInteger_nd,
         /,
         axis: SupportsIndex,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         out: _nt.Array[_ScalarT] | EllipsisType | None = None,
     ) -> _nt.Array[_ScalarT]: ...
     @overload
@@ -1696,7 +1698,7 @@ class _ReduceAt2(Protocol):
         /,
         axis: SupportsIndex = 0,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         out: _nt.Array[_ScalarT] | EllipsisType | None = None,
     ) -> _nt.Array[_ScalarT]: ...
     @overload
@@ -1733,7 +1735,7 @@ class _Outer1(Protocol):
         /,
         *,
         out: _Out1[_nt.Array[_ScalarT] | None] | EllipsisType = None,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         **kw: Unpack[_Kwargs3],
     ) -> _nt.Array[_ScalarT]: ...
     @overload  # ?d, ?d
@@ -1790,7 +1792,7 @@ class _Outer2(Protocol):
         B: _nt.ToGeneric_nd,
         /,
         *,
-        dtype: _ToDType[_ScalarT],
+        dtype: _nt._ToDType[_ScalarT],
         out: _Out2[_nt.Array[_ScalarT] | None] | EllipsisType = ...,
         **kw: Unpack[_Kwargs4],
     ) -> _Out2[_nt.Array[_ScalarT]]: ...
diff --git a/src/numpy-stubs/_typing/__init__.pyi b/src/numpy-stubs/_typing/__init__.pyi
index 004c2eaf..674fe520 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..b862c7d2 100644
--- a/src/numpy-stubs/lib/recfunctions.pyi
+++ b/src/numpy-stubs/lib/recfunctions.pyi
@@ -6,7 +6,6 @@ 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.ma.mrecords import MaskedRecords
 
 __all__ = [
@@ -227,7 +226,7 @@ def repack_fields(a: _ArrayT, align: bool = False, recurse: bool = False) -> _Ar
 # TODO(jorenham): Attempt shape-typing (return type has ndim == arr.ndim + 1)
 @overload
 def structured_to_unstructured(
-    arr: _nt.Array[np.void], dtype: _DTypeLike[_ScalarT], copy: bool = False, casting: np._CastingKind = "unsafe"
+    arr: _nt.Array[np.void], dtype: _nt._ToDType[_ScalarT], copy: bool = False, casting: np._CastingKind = "unsafe"
 ) -> _nt.Array[_ScalarT]: ...
 @overload
 def structured_to_unstructured(
@@ -274,7 +273,7 @@ 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 f041becb..ef238fe5 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
+from numpy._typing import _ArrayLike, _BoolCodes
 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,
@@ -243,7 +243,7 @@ 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(
@@ -458,7 +458,7 @@ 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: _nt.ToShape | None = None, dtype: _nt.ToDTypeFloat64 = ..., *, out: _nt.Array[np.float64]
@@ -587,7 +587,7 @@ 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(
@@ -751,7 +751,7 @@ 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
@@ -766,7 +766,7 @@ class Generator:
         high: int | None = None,
         size: None = None,
         *,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _IntegerT: ...
     @overload
@@ -861,7 +861,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
         size: _nt.ToShape,
-        dtype: _DTypeLike[np.int64] = ...,
+        dtype: _nt._ToDType[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
     @overload
@@ -871,7 +871,7 @@ class Generator:
         low: _nt.CoInteger_nd,
         high: _nt.CoInteger_nd,
         size: _nt.ToShape,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
     @overload
@@ -972,7 +972,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _nt.ToShape,
-        dtype: _DTypeLike[np.int64] = ...,
+        dtype: _nt._ToDType[np.int64] = ...,
         endpoint: bool = False,
     ) -> _nt.Array[np.int64]: ...
     @overload
@@ -983,7 +983,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _nt.ToShape,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
         endpoint: bool = False,
     ) -> _nt.Array[_IntegerT]: ...
     @overload
@@ -1104,7 +1104,7 @@ class Generator:
         high: _nt.CoInteger_nd | None = None,
         size: _nt.ToShape | 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 c6890560..fbfa832b 100644
--- a/src/numpy-stubs/random/bit_generator.pyi
+++ b/src/numpy-stubs/random/bit_generator.pyi
@@ -2,23 +2,12 @@ import abc
 from _typeshed import Incomplete
 from collections.abc import Callable, Mapping, Sequence
 from threading import Lock
-from typing import (
-    Any,
-    ClassVar,
-    Generic,
-    Literal as L,
-    NamedTuple,
-    Self,
-    TypeAlias,
-    TypedDict,
-    overload,
-    type_check_only,
-)
+from typing import Any, ClassVar, Generic, Literal as L, NamedTuple, Self, TypedDict, overload, type_check_only
 from typing_extensions import CapsuleType, TypeVar, override
 
 import _numtype as _nt
 import numpy as np
-from numpy._typing import _ArrayLikeInt_co, _DTypeLike, _UInt32Codes, _UInt64Codes
+from numpy._typing import _ArrayLikeInt_co
 
 __all__ = ["BitGenerator", "SeedSequence"]
 
@@ -26,9 +15,6 @@ __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
-
 ###
 
 @type_check_only
@@ -55,12 +41,12 @@ class _CythonMixin:
 @type_check_only
 class _GenerateStateMixin(_CythonMixin):
     @overload
-    def generate_state(self, /, n_words: int, dtype: _ToDTypeUInt32 = ...) -> _nt.Array[np.uint32]: ...
+    def generate_state(self, /, n_words: int, dtype: _nt.ToDTypeUInt32 = ...) -> _nt.Array[np.uint32]: ...
     @overload
-    def generate_state(self, /, n_words: int, dtype: _ToDTypeUInt64) -> _nt.Array[np.uint64]: ...
+    def generate_state(self, /, n_words: int, dtype: _nt.ToDTypeUInt64) -> _nt.Array[np.uint64]: ...
     @overload
     def generate_state(
-        self, /, n_words: int, dtype: _ToDTypeUInt32 | _ToDTypeUInt64 = ...
+        self, /, n_words: int, dtype: _nt.ToDTypeUInt32 | _nt.ToDTypeUInt64 = ...
     ) -> _nt.Array[np.uint32 | np.uint64]: ...
 
 ###
@@ -104,7 +90,7 @@ class BitGenerator(_CythonMixin, abc.ABC, Generic[_StateT]):
 class ISeedSequence(abc.ABC):
     @abc.abstractmethod
     def generate_state(
-        self, /, n_words: int, dtype: _ToDTypeUInt32 | _ToDTypeUInt64 = ...
+        self, /, n_words: int, dtype: _nt.ToDTypeUInt32 | _nt.ToDTypeUInt64 = ...
     ) -> _nt.Array[np.uint32 | np.uint64]: ...
 
 class ISpawnableSeedSequence(ISeedSequence, abc.ABC):
diff --git a/src/numpy-stubs/random/mtrand.pyi b/src/numpy-stubs/random/mtrand.pyi
index 5f4acd2c..eebc256d 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
+from numpy._typing import _ArrayLike, _BoolCodes
 from numpy.random.bit_generator import BitGenerator
 
 __all__ = [
@@ -485,7 +485,7 @@ 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: ...
@@ -529,7 +529,7 @@ class RandomState:
     ) -> _nt.Array[np.bool]: ...
     @overload
     def randint(  # type: ignore[overload-overlap]
-        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ToShape, dtype: _DTypeLike[_IntegerT]
+        self, /, low: _nt.CoInteger_nd, high: _nt.CoInteger_nd, size: _nt.ToShape, dtype: _nt._ToDType[_IntegerT]
     ) -> _nt.Array[_IntegerT]: ...
     @overload
     def randint(
@@ -585,7 +585,7 @@ class RandomState:
         high: _nt.CoInteger_nd | None = None,
         *,
         size: _nt.ToShape,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
     ) -> _nt.Array[_IntegerT]: ...
     @overload
     def randint(
@@ -689,7 +689,7 @@ class RandomState:
         high: _nt.CoInteger_nd | None = None,
         size: _nt.ToShape | None = None,
         *,
-        dtype: _DTypeLike[_IntegerT],
+        dtype: _nt._ToDType[_IntegerT],
     ) -> _IntegerT | _nt.Array[_IntegerT]: ...
     @overload
     def randint(