Efficacy and safety of pharmacotherapy in chronic insomnia: A review of clinical guidelines and case reports.

Introduction: Chronic insomnia affects 5% to 10% of the US population, increasing the demand for treatment options and the corresponding research to prove their validity.1 This review compares recommendations from 3 clinical guidelines and summarizes hypnotic medications, including their newly reported side effects not mentioned in the guidelines. In addition, we aim to provide an overview of what pharmacotherapies are available for prescribers and patients. Methods: A literature search was conducted for articles published prior to January 10, 2022, and case reports and clinical studies were retrieved from PubMed and Google Scholar. Results: Definitive conclusions cannot be drawn regarding the safety and efficacy of medications reviewed; however, trends are apparent. All 3 guidelines included in this review remarked most treatment recommendations as weak except for cognitive behavioral therapy for insomnia, which is effective but not readily available. Furthermore, based on the 15 case reports and 13 clinical studies presented in this review, many of the medications used for treatment of insomnia present safety concerns. Discussion: Benzodiazepines and benzodiazepine receptor agonists are commonly used hypnotic agents with the "Z-drugs" having robust data establishing their efficacy for the short-term treatment of chronic insomnia. However, significant adverse effects related to the central nervous system (CNS), including developing tolerance, addiction, CNS depression, and amnesia, remain barriers to their long-term use. In comparison, newer agents present more favorable side-effect profiles although with less established efficacy. Additionally, off-label agents, including antidepressants, antihistamines, and natural supplements, are discussed due to their prominent use.

Clinical decision making involving prescription drug monitoring programs: A factorial, vignette-based study among student pharmacists.

OBJECTIVES: Prescription drug monitoring programs (PDMPs) are state-maintained databases that providers may reference when deciding to prescribe or dispense controlled substances. As more states begin to mandate PDMP use at the point of care, it is imperative to assess how pharmacists use PDMP information when determining whether to fill a controlled substance prescription (CSP). The objective of this study was to evaluate which factors affected fourth-year student pharmacists' decision to fill an opioid prescription, their level of confidence in their decision making, and familiarity with the PDMP. METHODS: We used a 24 factorial design to present a series of text-based vignettes to fourth-year student pharmacists. Each participant received 8 vignettes (5 randomly selected, 3 fixed), representing a hypothetical hydrocodone-acetaminophen combination prescription with varying levels of the following dichotomous factors: doctor shopping, dosage, pharmacy shopping, and concurrent benzodiazepine prescription. Participants were asked to decide whether or not they would fill each of the hypothetical prescriptions they received. A multilevel model was used to measure the association between each of the vignette factors, age, race, sex, experience with PDMP, and the decision to refuse to fill a prescription. Each vignette response served as an independent observation. RESULTS: A total of 87 participants yielded 696 vignette responses. Participants were significantly more likely to refuse to fill prescriptions with doctor shopping (adjusted odds ratio [aOR] 19.86 [95% CI 10.78-36.58]), pharmacy shopping (6.78 [4.13-11.12]), dosage (1.83 [1.16-2.90]), or if the student pharmacist was of female sex (1.73 [1.02-2.93]). Concomitant benzodiazepine use was not associated with a no-fill decision (1.45 [0.92-2.27]). CONCLUSION: This study reveals that student pharmacists' decision to fill a prescription is dependent on both prescription characteristics and a patient's CSP history. The importance of PDMP history cannot be downplayed and suggests that PDMP use may be effective in informing patient care decisions. Still, the variability in filling decision highlights the need to teach a formulaic approach to CSP dispensing in colleges of pharmacy.