Let D={d₁, d₂, ⋯, d_D} be a collection of D string documents of n characters in total. The two-pattern matching problems ask to index D for answering the following queries efficiently. Report/count the unique documents containing P₁ and P₂. Report/count the unique documents containing P₁, but not P₂.Here P₁ and P₂ represent input patterns of length p₁ and p₂ respectively. Linear space data structures with O(p_1+p2+√nk log^O(1)n) query cost are already known for the reporting version, where k represents the output size. For the counting version (i.e., report the value k), a simple linear-space index with O(p_1+p2+√n) query cost can be constructed in O(n^3/2) time. However, it is still not known if these are the best possible bounds for these problems. In this paper, we show a strong connection between these string indexing problems and the boolean matrix multiplication problem. Based on this, we argue that these results cannot be improved significantly using purely combinatorial techniques. We also provide an improved upper bound for a related problem known as common colors query problem.