Lower back pain is one of the most prevalent musculoskeletal conditions in the developed world and accounts for significant health services use. The American College of Physicians and the American Pain Society have published a joint clinical guideline that recommends providing patients with information on prognosis and self-management, the use of medications with proven benefits and, for those who do not improve, consideration be given to the use of spinal manipulation (for acute lower back pain only), interdisciplinary rehabilitation, exercise, acupuncture, massage, yoga, cognitive behavioural therapy or relaxation. The purpose of this review was to evaluate published economic evaluations of pharmacological management for chronic lower back pain. A total of seven studies were eligible for inclusion in there view. The quality of the economic evaluations undertaken in the included studies was not high. This was primarily because of the nature of the underlying clinical evidence, most of which did not come from rigorous randomised controlled trials (RCTs), and the manner in which it was incorporated into the economic evaluations. All studies provided reasonable information about what aspects of healthcare and other resource use were identified, measured and valued. However, the reporting of total costs was not uniform across studies. Measures of pain and disability were the most commonly collected outcomes measures. Two studies collected information on quality of life directly from participants while two studies modelled this information based on the literature. Future economic evaluations of interventions for chronic lower back pain, including pharmacological interventions, should be based on the results of well-conducted RCTs where the measurement of costs and outcomes such as quality of life and quality-adjusted life-years is included in the trial protocol, and which have a follow-up period sufficient to capture meaningful changes in both costs and outcomes. In the absence of RCT data, economic models should be used to estimate future costs and outcomes using robust methods.