diff --git a/docs/conf.py b/docs/conf.py
index fc0964d3..44358848 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -13,6 +13,7 @@
     "autoapi.extension",
     "m2r2",
     "sphinx.ext.autodoc",
+    "sphinx.ext.doctest",
     "sphinx.ext.intersphinx",
     "sphinx.ext.napoleon",
     "sphinx.ext.viewcode",
diff --git a/src/nitypes/_arguments.py b/src/nitypes/_arguments.py
index 948b729a..9fd2a69e 100644
--- a/src/nitypes/_arguments.py
+++ b/src/nitypes/_arguments.py
@@ -16,7 +16,12 @@
 
 # Some of these doctests use types introduced in NumPy 2.0 (np.long and np.ulong) or highlight
 # formatting differences between NumPy 1.x and 2.x (e.g. dtype=int32, 1.23 vs. np.float64(1.23)).
-__doctest_requires__ = {("arg_to_float", "is_dtype", "validate_dtype"): ["numpy>=2.0"]}
+# The following line is commented out as workaround for technical debt #251.
+# __doctest_requires__ = {("arg_to_float", "is_dtype", "validate_dtype"): ["numpy>=2.0"]}
+# When the technical debt is resolved, uncomment the line above
+# and remove testsetup blocks that include comments like the one below:
+# # Workaround for technical debt #251: Skip doctest if numpy<2.0
+# >>> pytest.skip("requires numpy>=2.0") if version_check else None  # doctest: +SKIP
 
 
 def arg_to_float(
@@ -24,6 +29,14 @@ def arg_to_float(
 ) -> float:
     """Convert an argument to a float.
 
+    .. testsetup::
+
+        # Workaround for technical debt #251: Skip doctest if numpy<2.0
+        import numpy as np
+        import pytest
+        numpy_version = tuple(map(int, np.__version__.split(".")[:2])) < (2, 0)
+        pytest.skip("requires numpy>=2.0") if numpy_version else None
+
     >>> arg_to_float("xyz", 1.234)
     1.234
     >>> arg_to_float("xyz", 1234)
@@ -143,6 +156,14 @@ def is_dtype(dtype: npt.DTypeLike, supported_dtypes: tuple[npt.DTypeLike, ...])
 
     Unlike :any:`numpy.isdtype`, this function supports structured data types.
 
+    .. testsetup::
+
+        # Workaround for technical debt #251: Skip doctest if numpy<2.0
+        import numpy as np
+        import pytest
+        numpy_version = tuple(map(int, np.__version__.split(".")[:2])) < (2, 0)
+        pytest.skip("requires numpy>=2.0") if numpy_version else None
+
     >>> is_dtype(np.float64, (np.float64, np.intc, np.long,))
     True
     >>> is_dtype("float64", (np.float64, np.intc, np.long,))
@@ -172,6 +193,14 @@ def is_dtype(dtype: npt.DTypeLike, supported_dtypes: tuple[npt.DTypeLike, ...])
 def validate_dtype(dtype: npt.DTypeLike, supported_dtypes: tuple[npt.DTypeLike, ...]) -> None:
     """Validate a dtype-like object against a tuple of supported dtype-like objects.
 
+    .. testsetup::
+
+        # Workaround for technical debt #251: Skip doctest if numpy<2.0
+        import numpy as np
+        import pytest
+        numpy_version = tuple(map(int, np.__version__.split(".")[:2])) < (2, 0)
+        pytest.skip("requires numpy>=2.0") if numpy_version else None
+
     >>> validate_dtype(np.float64, (np.float64, np.intc, np.long,))
     >>> validate_dtype("float64", (np.float64, np.intc, np.long,))
     >>> validate_dtype(np.float64, (np.byte, np.short, np.intc, np.int_, np.long, np.longlong))
diff --git a/src/nitypes/complex/__init__.py b/src/nitypes/complex/__init__.py
index e904f485..07e2a4e3 100644
--- a/src/nitypes/complex/__init__.py
+++ b/src/nitypes/complex/__init__.py
@@ -27,6 +27,14 @@
 
 You can construct an array of complex integers from a sequence of tuples using :func:`numpy.array`:
 
+.. testsetup::
+
+    # Workaround for technical debt #251: Skip doctest if numpy<2.0
+    import numpy as np
+    import pytest
+    numpy_version = tuple(map(int, np.__version__.split(".")[:2])) < (2, 0)
+    pytest.skip("requires numpy>=2.0") if numpy_version else None
+
 >>> import numpy as np
 >>> np.array([(1, 2), (3, 4)], dtype=ComplexInt32DType)
 array([(1, 2), (3, 4)], dtype=[('real', '<i2'), ('imag', '<i2')])
@@ -127,4 +135,8 @@
 from nitypes.complex._dtypes import ComplexInt32Base, ComplexInt32DType
 
 __all__ = ["convert_complex", "ComplexInt32DType", "ComplexInt32Base"]
-__doctest_requires__ = {".": ["numpy>=2.0"]}
+# The following line is commented out as workaround for technical debt #251.
+# __doctest_requires__ = {".": ["numpy>=2.0"]}
+# When the technical debt is resolved, uncomment the line above
+# and remove testsetup blocks that include comments like the one below:
+# # Workaround for technical debt #251: Skip doctest if numpy<2.0