Articles

Objective: Kratom (Mitragyna speciosa) has emerged as a widely accessible nonprescription substance that is being utilized in the United States. Kratom is commonly used for self-management of pain, psychiatric symptoms, and opioid withdrawal. Veterans receiving care within the Veterans Health Administration (VHA) represent a high-risk population due to elevated rates of chronic pain, post-traumatic stress disorder (PTSD), and substance use disorders (SUDs). Despite increasing prevalence, kratom use remains underrecognized and is not routinely assessed in clinical practice. This narrative review studies the pharmacology, patterns of use, and clinical implications of kratom among Veterans and proposes a standardized screening framework for implementation within the VHA. This will help to align with the patient centered care delivered to our Veterans related to mental health conditions often concurrent with substance use, pain management, and opioid safety. Methods: A targeted narrative review of the literature was conducted using PubMed, Google Scholar, and relevant federal agency reports. Search terms included “kratom,” “Mitragyna speciosa,” “substance use disorder,” “opioid withdrawal,” and “Veterans.” Articles were selected based on relevance to pharmacology, epidemiology, adverse effects, and clinical implications. Findings were synthesized and interpreted using DSM-5-TR substance use disorder criteria. Results: Kratom exhibits partial agonist activity at μ-opioid receptors, producing dose-dependent stimulant and opioid-like effects. According to the National Institutes of Health's National Library of Medicine, mu-opioid receptors, found in the brain and spinal cord, are primarily responsible for pain relief and other opioid-like effects such as euphoria and respiratory depression. Veterans frequently use kratom to self-manage pain, mood symptoms, and opioid withdrawal (Garcia-Romeu et al., 2020; Grundmann, 2017). Kratom use is associated with dependence, withdrawal, and increased risk of polysubstance use (Post et al., 2019). Detection remains limited due to lack of standardized screening tools and the absence of detection in routine toxicology panels. Conclusions: Given the rising incidence of kratom use among Veterans and associated clinical risks, implementation of a standardized screening within the VHA is an appropriate intervention. Incorporating DSM-5-TR-informed criteria into structured assessments can help improve early identification, enhance patient safety, and support evidence-based treatment strategies.

COVID-19 vaccines have demonstrated efficacy in reducing the prevalence of serious illnesses. The relative risk of hospitalization and mortality for patients who get breakthrough infections after immunization versus those who develop reinfections after a prior spontaneous infection is examined in this correspondence. Based on a study on U.S. Veterans who were not vaccinated and experienced reinfections had a much higher risk of experiencing severe illness outcomes compared to those who had received immunizations and experienced breakthrough infections, even if the rates of reinfection and breakthrough infection were similar. Our findings highlight the value of immunization in reducing severe COVID-19 outcomes, even in the presence of reinfections.

There is a growing body of evidence that the number of individuals suffering from chronic and acute pain is under-reported and the burden of the veteran, aging, athletic, and working populations is rising. Current pain management is limited by our capacity to collaborate with individuals continuing normal daily functions and self-administration of pain treatments outside of traditional healthcare appointments and hospital settings. In this review, the current gap in clinical care for real-time feedback and guidance with pain management decision-making for chronic and post-operative pain treatment is defined. We examine the recent and future applications for predictive analytics of opioid use after surgery and implementing real-time neural networks for personalized pain management goal setting for particular individuals on the path to discharge to normal function. Integration of personalized neural networks with longitudinal data may enable the development of future treatment personalizations paired with electrical simulations.