diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index 099e5bc48353a..5254b0de83b5a 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -847,6 +847,7 @@ Reshaping
 - Bug in :meth:`DataFrame.stack` with the new implementation where ``ValueError`` is raised when ``level=[]`` (:issue:`60740`)
 - Bug in :meth:`DataFrame.unstack` producing incorrect results when manipulating empty :class:`DataFrame` with an :class:`ExtentionDtype` (:issue:`59123`)
 - Bug in :meth:`concat` where concatenating DataFrame and Series with ``ignore_index = True`` drops the series name (:issue:`60723`, :issue:`56257`)
+- Bug in :func:`melt` where calling with duplicate column names in ``id_vars`` raised a misleading ``AttributeError`` (:issue:`61475`)
 
 Sparse
 ^^^^^^
diff --git a/pandas/core/reshape/melt.py b/pandas/core/reshape/melt.py
index f4cb82816bbcf..f2cbb89a31e5f 100644
--- a/pandas/core/reshape/melt.py
+++ b/pandas/core/reshape/melt.py
@@ -173,6 +173,9 @@ def melt(
     1      b          B          E      3
     2      c          B          E      5
     """
+    # GH61475 - prevent AttributeError when duplicate column in id_vars
+    if id_vars and any(frame.columns.tolist().count(col) > 1 for col in id_vars):
+        raise ValueError("id_vars cannot contain duplicate columns.")
     if value_name in frame.columns:
         raise ValueError(
             f"value_name ({value_name}) cannot match an element in "
diff --git a/pandas/tests/reshape/test_melt.py b/pandas/tests/reshape/test_melt.py
index 95aa5291cb45a..02544c9518d10 100644
--- a/pandas/tests/reshape/test_melt.py
+++ b/pandas/tests/reshape/test_melt.py
@@ -555,6 +555,14 @@ def test_melt_multiindex_columns_var_name_too_many(self):
         ):
             df.melt(var_name=["first", "second", "third"])
 
+    def test_melt_duplicate_column_header_raises(self):
+        # GH61475
+        df = DataFrame([[1, 2, 3], [3, 4, 5]], columns=["A", "A", "B"])
+        msg = "id_vars cannot contain duplicate columns."
+
+        with pytest.raises(ValueError, match=msg):
+            df.melt(id_vars=["A"], value_vars=["B"])
+
 
 class TestLreshape:
     def test_pairs(self):