Finding new uses for old drugs is a strategy embraced by the pharmaceutical industry, with increasing participation from the academic sector. Current drug repurposing efforts focus on identifying novel modes of action, but not in a systematic manner. With intensive data mining, processing and curation, we aim to apply bio- and chem- informatics tools using an exhaustive DRUGS database, which contains 3,837 unique small molecules annotated on 1,759 proteins that are likely drug targets and antitargets (i.e., associated with adverse drug reactions, ADRs). Preclinical examples of drug repurposing include Raltegravir and Astemizole; we also discuss Cyclobenzaprine and the serotonin syndrome. Text mining algorithms and multivariate statistics were used to process the DailyMed collection (7,684 approved drug labels), matching 1,000 unique small molecule ADLs to 174 ADRs