The impact of fentanyl on DUIDs and traffic fatalities: Blood and oral fluid data

Fentanyl has emerged as the most prolific drug in the ongoing opioid epidemic and has greatly impacted traffic safety in recent years. This study aimed to evaluate fentanyl prevalence and concentrations in blood and oral fluid in driving under the influence of drugs (DUID) cases in three different regions (i.e., Alabama, Orange County, CA, and Houston, TX) from 2017 to 2022. Furthermore, traffic fatalities were evaluated for Alabama and Orange County, CA. Fentanyl positivity in DUID and traffic fatalities increased for most years in this study. In Alabama, the prevalence of fentanyl DUID cases increased 4-fold in 2022 compared to 2017. Orange County's increase from 2017 to 2022 was 14-fold. In Houston, the increase was approximately 2-fold from 2019 to 2022. The greatest increase for all laboratories coincided with the start of the COVID-19 pandemic. In 2022, the median fentanyl DUID blood concentrations were 4.7, 11, and 4.7 ng/mL in Alabama, Orange County, and Houston, respectively. Most fentanyl cases were polydrug cases (≥90%). Methamphetamine, THC, and alprazolam were the most frequently detected drugs in combination with fentanyl. Alabama has collected oral fluid and blood in DUID cases since 2018. The detection of fentanyl in oral fluid was comparable to blood. However, 59% and 8.7% of fentanyl-positive cases had concentrations of >20 ng/mL in oral fluid and blood, respectively. Therefore, oral fluid as an alternative or supplemental specimen to blood is an attractive approach for fentanyl in DUID cases. This study contributes to understanding recent fentanyl trends and their impact on traffic safety.     

Licensed firearm dealers,legal compliance,and local homicide: A case study

Research summary

This study uses a combination of tract-level and street network-level analyses to examine: (1) the overall association between federally licensed firearm dealers (FFLs) and homicides, (2) the relationship between dealers with serious violations (such as selling to prohibited buyers or failing to record sales) and homicide, and (3) whether the dealer–homicide association is moderated by community disadvantage. Results replicate and confirm a relationship between dealers and homicides in disadvantaged neighborhoods. Importantly, however, we also find that proximity to noncompliant dealers specifically elevates the risk of lethal violence.

Policy implications

We detail how a coordinated effort between federal, state, and local agencies to regulate firearm dealers and ensure that legal compliance can be instrumental in reducing gun violence. There is a clear need for increased oversight of gun dealers and more robust policies that hold negligent dealers accountable, including the necessary funding and regulatory manpower to enable regular auditing and support consistent follow-up for noncompliant dealers. A comprehensive policy framework that supports supply-side gun violence reduction should include additions to state-level laws that require record keeping, videotaping and store security, and regular inspection for firearm dealers.     

The Reliability of Pattern Classification in Bloodstain Pattern Analysis,Part 1: Bloodstain Patterns on Rigid Non‐absorbent Surfaces

This study was designed to produce the first baseline measure of reliability in bloodstain pattern classification. A panel of experienced bloodstain pattern analysts examined over 400 spatter patterns on three rigid non‐absorbent surfaces. The patterns varied in spatter type and extent. A case summary accompanied each pattern that either contained neutral information, information to suggest the correct pattern (i.e., was positively biasing), or information to suggest an incorrect pattern (i.e., was negatively biasing). Across the variables under examination, 13% of classifications were erroneous. Generally speaking, where the pattern was more difficult to recognize (e.g., limited staining extent or a patterned substrate), analysts became more conservative in their judgment, opting to be inconclusive. Incorrect classifications increased as a function of the negatively biasing contextual information. The implications of the findings for practice are discussed.     

Covering Legal Mobilization: A Bottom‐Up Analysis of Wards Cove v. Atonio

We develop a political history of Wards Cove v. Atonio (1989) to show how Robert Cover's concepts of jurisgenesis and jurispathy can enrich the legal mobilization framework for understanding law and social change. We illustrate the value of the hybrid theory by recovering the Wards Cove workers’ own understanding of the role of litigation in their struggle for workplace rights. The cannery worker plaintiffs exemplified Cover's dual logic by articulating aspirational narratives of social justice and by critically rebuking the Supreme Court's ruling as the “death throe” for progressive minority workers’ rights advocacy. The cannery workers’ story also highlights the importance of integrating legal mobilization scholars’ focus on extrajudicial political engagement into Cover's judge‐centered analysis. Our aim is to forge a theoretical bridge between Cover's provocative arguments about law and the analytical tradition of social science scholarship on the politics of legal mobilization.     

Congressional Attacks on the Supreme Court: A Mechanism to Maintain,Build, and Consolidate

Reexamination and reinterpretation of the “mature” (1955–1984) New Deal era of congressional attacks on the Supreme Court reveals a new hypothesis: that Court‐curbing efforts played a previously unrecognized role in party system development. Court rulings that create inter‐ and intraparty tension provide opportunities for various actors to attack the Court in an effort to solidify their faction's standing within national coalitional politics. Congressional attackers can use Court‐curbing resolutions and amendments in efforts to help them maintain coalitional cohesion, build a new majority, or consolidate previous victories. Thus, we might see legislative‐judicial relations as an unrecognized “site” of political development, where coalitional change is opposed and wrought.     

Uneven local implementation of federal policy after disaster: Policy conflict and goal ambiguity

As climate change continues to increase both the frequency and intensity of environmental hazards and disasters, the need for a cohesive national mitigation policy grows. As the environmental federalism scholarship indicates, the inherent tension in federal, state, and local policy implementation highlights that despite a national need, environmental quality is a local public good. To complicate matters, there is disagreement about the optimal level of decision-making regarding the adoption and implementation of environmental policy. This study addresses this gap by considering the role of policy ambiguity and conflict in policy implementation. The analysis relies on primary qualitative data collected from open-ended interviews with 22 local government officials in 12 municipalities following Hurricane Harvey. Through the lens of policy ambiguity and conflict, we find confirmatory support for the idea that policies with less ambiguous goals are more likely to be implemented. Furthermore, we find that policy conflict arises when local governments perceive there is little for the community to gain by implementing the federal program. Thus, the level of protection afforded to citizens varies greatly between communities and is influenced heavily by politics. This research supports the Ambiguity-Conflict Model of policy implementation, an oft-cited but rarely tested theoretical framework for assessing the intergovernmental politics of policy implementation. It also demonstrates the barriers to local implementation of federal environmental policy in a nested system of government.     

The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity

Forensic DNA interpretation is transitioning from manual interpretation based usually on binary decision‐making toward computer‐based systems that model the probability of the profile given different explanations for it, termed probabilistic genotyping (PG). Decision‐making by laboratories to implement probability‐based interpretation should be based on scientific principles for validity and information that supports its utility, such as criteria to support admissibility. The principles behind STRmix? are outlined in this study and include standard mathematics and modeling of peak heights and variability in those heights. All PG methods generate a likelihood ratio (LR) and require the formulation of propositions. Principles underpinning formulations of propositions include the identification of reasonably assumed contributors. Substantial data have been produced that support precision, error rate, and reliability of PG, and in particular, STRmix?. A current issue is access to the code and quality processes used while coding. There are substantial data that describe the performance, strengths, and limitations of STRmix?, one of the available PG software.