This article explores the pervasive issue of scale contamination and its impact on construct validity in mental health, social science, and spirituality-related research. Scale contamination occurs when measurement tools designed to assess one specific domain inadvertently incorporate elements from unrelated constructs, leading to confusion regarding what the scale is actually measuring. The blending of distinct psychological domains, such as depression, anxiety and well-being, undermines measurement precision, leading to skewed research conclusions and misguided clinical practices. The failure to detect or address contamination can perpetuate errors in treatment efficacy, particularly in areas such as mental health and spirituality, where precise measurement is crucial. This article emphasizes the importance of ensuring construct validity, which refers to the accurate measurement of specific concepts such as moral injury or posttraumatic stress disorder, and it highlights the risk of conflating distinct constructs. The widespread use of contaminated scales, often adopted without critical evaluation, poses a significant threat to the integrity of research outcomes. In order to address these challenges, this study advocates for rigorous scale development and validation processes, encouraging researchers, peer reviewers and journal editors to scrutinize the psychometric properties of scales. By ensuring that scales measure only the intended constructs, future research can produce more accurate and meaningful results, leading to improved clinical interventions and policy decisions.