diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
index db1abae4d6ff3..dc2e8c097bc14 100644
--- a/pandas/_libs/lib.pyx
+++ b/pandas/_libs/lib.pyx
@@ -94,20 +94,6 @@ cdef:
     float64_t NaN = <float64_t>np.NaN
 
 
-def values_from_object(obj: object):
-    """
-    Return my values or the object if we are say an ndarray.
-    """
-    func: object
-
-    func = getattr(obj, '_internal_get_values', None)
-    if func is not None:
-        # Includes DataFrame, for which we get frame.values
-        obj = func()
-
-    return obj
-
-
 @cython.wraparound(False)
 @cython.boundscheck(False)
 def memory_usage_of_objects(arr: object[:]) -> int64_t:
diff --git a/pandas/core/common.py b/pandas/core/common.py
index 6230ee34bcd50..056b564ead0e0 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -87,9 +87,6 @@ def maybe_box_datetimelike(value, dtype=None):
     return value
 
 
-values_from_object = lib.values_from_object
-
-
 def is_bool_indexer(key: Any) -> bool:
     """
     Check whether `key` is a valid boolean indexer.
diff --git a/pandas/core/computation/expressions.py b/pandas/core/computation/expressions.py
index fdc299ccdfde8..7f93472c766d7 100644
--- a/pandas/core/computation/expressions.py
+++ b/pandas/core/computation/expressions.py
@@ -121,12 +121,12 @@ def _evaluate_numexpr(op, op_str, a, b):
 
 
 def _where_standard(cond, a, b):
-    # Caller is responsible for calling values_from_object if necessary
+    # Caller is responsible for extracting ndarray if necessary
     return np.where(cond, a, b)
 
 
 def _where_numexpr(cond, a, b):
-    # Caller is responsible for calling values_from_object if necessary
+    # Caller is responsible for extracting ndarray if necessary
     result = None
 
     if _can_use_numexpr(None, "where", a, b, "where"):