Objective: To examine a sample of patients admitted to hospitals with drug abuse for some inpatient treatment in order to look for trends that may lead to a better understanding of the data and of which groups seem to be most at risk for this ailment. Methods: Data were taken from a ten percent sample of the National Inpatient Sample from 2004. A data sample of 7,903 inpatients from 2004 was organized, plotted, graphed, and put into tables in order to best understand the patterns and variances. Logistic regression models were created to compare variables and help to predict age and mortality of the inpatients. The data were preprocessed to include only the most frequently occurring diagnosis and procedure codes. Results: Frequency of cases of drug abuse showed spikes near the ages of 40 and 80, with the African Americans and males dominant at the 40 spike and the Caucasians and males at the 80 spike. Code variables for rehabilitation, blood transfusion, respiratory intubation, hypertension, heart disease, congestive heart failure, urinary tract infection, cardiac dysrhythmias, pulmonary disease, fluid disorder, CT head scan, gastrointestinal endoscopy, psychiatric therapy, physical therapy, and various mental disorders were combined with these results to create a model that is almost 80 percent accurate. Mortality can be predicted using the variables vascular catheterization, respiratory intubation, and coronary atherosclerosis with an accuracy of 63.4 percent. Conclusion: A bimodal trend in the age of drug abusers suggests two different types of drug abuse. The most likely explanation is the abuse of recreational drugs around the age of 40 and the abuse or misuse of prescription drugs around the age of 80. Mortality can be predicted so accurately using only three variables because these procedures are associated with the highest probability of death.