Network pharmacology is an approach that uses bioinformatics to predict and identify multiple drug targets and interactions in disease. Here, we applied network pharmacology to investigate the potential mechanisms of action of triptolide, an active component in the traditional Chinese medicine Tripterygium wilfordii Hook F, in colorectal cancer (CRC). We first searched public databases for genes and proteins known to be associated with CRC, as well as those predicted to be targets of triptolide, and then used Ingenuity Pathway Analysis (IPA) to identify enriched gene pathways and networks. Networks and pathways that overlapped between CRC-associated proteins and triptolide target proteins were then used to predict candidate protein targets of triptolide in CRC. The following proteins were found to be expressed in both CRC-associated networks and triptolide target networks: JUN, FOS, CASP3, BCL2, IFNG, and VEGFA. Docking studies suggested that triptolide can fit in the binding pocket of the four top candidate triptolide target proteins (CASP3, BCL2, VEGFA and IFNG). The overlapping pathways were activation of neuroinflammation signaling, glucocorticoid receptor signaling, T helper (Th) cell differentiation, Th1/Th2 activation, and colorectal cancer metastasis signaling. These results show that network pharmacology can be used to generate hypotheses about how triptolide exerts therapeutic effects in CRC. Network pharmacology may be a useful method for characterizing multi-target drugs in complex diseases.