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The most recent wave of the opioid epidemic in the USA has been complicated by a sharp increase in methamphetamine use. In addition, many people classified with opioid use disorder (OUD) and methamphetamine use disorder (MUD) present indications of psychiatric conditions. These diagnoses are also highly prevalent among people who are admitted to jails, but research conducted with this population is limited, due in part to the challenges associated with gaining access to local detention centers. This paper aims to examine the patterns of psychiatric conditions, OUD, and MUD among an understudied population to help inform the development of service delivery systems.

The present study was designed to assess the prevalence of OUD, MUD and common psychiatric conditions in a large sample of adults (n = 846) collected from four local jails. Diagnostic patterns were evaluated according to the current criteria established in the Diagnostic and Statistical Manual of Mental Disorders (5th ed; American Psychiatric Association, 2013).

More than half (57.3%) of the sample met criteria for MUD, one-third (37.2%) exceeded the threshold for an OUD diagnosis and 15.7% were classified with both conditions. Participants who met criteria for both MUD and OUD were significantly more likely to experience symptoms of major depression [adjusted odd ratios (aOR) = 1.76, 9, confidence intervals (CI) = 1.16–2.67], post-traumatic stress disorder (aOR = 2.51, 1.64–3.83), panic attacks (aOR = 3.24, 95% CI = 2.05–5.13), obsessive compulsive disorder (aOR = 2.74, 95% CI = 1.66–4.51) and antisocial personality (aOR = 3.03, 95% CI = 1.97–4.64).

These results, which were derived from an understudied population of adults detained in local jails, indicate the co-–occurrence of MUD and OUD are associated with certain psychiatric conditions.

Drug cryptomarkets increase information available to market actors, which should reduce information asymmetry and increase market efficiency. This study aims to determine whether cryptomarket listings accurately represent the advertised substance, weight or number and purity, and whether there are differences in products purchased from the same listing multiple times.

Law enforcement drug purchases – predominantly cocaine, methamphetamine, MDMA and heroin – from Australian cryptomarket vendors (n = 38 in 2016/2017) were chemically analysed and matched with cryptomarket listings (n = 23). Descriptive and comparative analyses were conducted.

Almost all samples contained the advertised substance. In most of these cases, drugs were either supplied as-advertised-weight or number, or overweight or number. All listings that quantified purity overestimated the actual purity. There was no consistent relationship between advertised purity terms and actual purity. Across the six listings purchased from multiple times, repeat purchases from the same listing varied in purity, sometimes drastically, with wide variation detected on listings purchased from only one month apart.

In this data set, cryptomarket listings were mostly accurate, but the system was far from perfect, with purity overestimated. A newer, larger, globally representative sample should be obtained to test the applicability of these findings to currently operating cryptomarkets.

This paper reports on the largest data set of forensic analysis of drug samples obtained from cryptomarkets, where data about advertised drug strength/dose were obtained.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.