Step 1: Insertion Complexity.
In a binary search tree (BST), insertion's worst-case time complexity is $O(n)$. This occurs when the tree becomes unbalanced, resembling a linked list, requiring traversal of all $n$ nodes.
Step 2: Deletion Complexity.
Worst-case deletion in a BST also takes $O(n)$ time. This is due to the need to traverse the entire tree and possibly restructure it.
Step 3: Conclusion.
Consequently, both insertion and deletion operations in a binary search tree have a worst-case time complexity of $O(n)$.