Abstract
Osteoarthritis (OA) is a chronic condition in which pain significantly affects quality of life, often leading to reduced physical activity and disability. Globally, an estimated 595 million people are affected, with the numbers likely to increase owing to an aging population and rising obesity rates. Effective pain management is crucial, yet current treatments, such as nonsteroidal anti-inflammatory drugs (NSAIDs) and opioids, often provide limited relief and come with risks. One reason for this limited success is the insufficient recognition of the importance of psychosocial factors and heterogeneity of patients with OA (such as anxiety and depression), which can exacerbate pain and its impacts. The variability in patient pain experiences highlights the potential value of pain phenotyping, which involves a comprehensive assessment of pain characteristics to tailor treatments to individual needs. Antidepressants, particularly serotonin-norepinephrine reuptake inhibitors (SNRIs), show promise in alleviating both psychological symptoms and OA-related pain, but their effectiveness varies among individuals. Therefore, further research into standardized pain phenotyping methods and their integration into antidepressant treatment is needed to improve efficacy and minimize side effects through more personalized approaches.