Fatal overdoses involving synthetic opioids such as fentanyl increased sharply during the past decade. Recent data indicate declines in deaths with illegally manufactured fentanyls detected beginning in mid-2023. However, timely data on nonfatal overdoses involving fentanyl are limited. Emergency department (ED) data from CDC's National Syndromic Surveillance Program during October 2020-March 2024 were analyzed. Quarterly trends in rates of suspected nonfatal overdose of unintentional or undetermined intent involving fentanyl or fentanyl analogs (fentanyl-involved nonfatal overdoses) (i.e., the number of ED visits for fentanyl-involved nonfatal overdose per 10,000 total ED visits) were analyzed overall and by age group, sex, and race and ethnicity. During quarter (Q) 4 (October-December) 2020 to Q3 (July-September) 2023, rates of fentanyl-involved nonfatal overdose ED visits increased 8.7% per quarter, from 1.4 to 3.5 per 10,000 ED visits, then declined 11.0% per quarter, to 2.9 per 10,000 ED visits, from Q3 2023 to Q1 (January-March) 2024. Trends increased among a majority of demographic groups through mid-2023, with the highest rates and the largest increases among non-Hispanic American Indian or Alaska Native persons (e.g., 11.9 per 10,000 ED visits in Q3 2023, and an average quarterly increase of 9.0%, respectively). Providers in EDs have an important role in preventing fentanyl-involved nonfatal overdoses. Buprenorphine, a medication used to treat opioid use disorder that can be initiated in an ED, might benefit persons who use EDs as a main source of medical care. In addition, comprehensive services, including screening and treatment of co-occurring mental health conditions, as well as evidence-based prevention, treatment, and recovery support services, might be initiated in EDs because these might be particularly important in communities at high risk for fentanyl overdoses.

PURPOSE: In this manuscript, the abbreviation TG is defined as persons who identify as transgender, GNC is defined as persons who identify as gender nonconforming, and CG is defined as persons who identify as cisgender. TG and GNC (e.g., nonbinary), are those whose gender identity and sex assigned at birth do not align, as opposed to CG. This study describes drug poisonings among TG, GNC, and CG captured in the Toxicology Investigators Consortium (ToxIC) Core Registry during 2017-2021. METHODS: Authors conducted a secondary data analysis of medical toxicology physician consultations involving intentional exposures (i.e., use with the knowledge of the exposed person) within the ToxIC Core Registry from 2017 through 2021. Demographic characteristics, exposure intent, and reported drug classes are reported by gender identity and sex assigned at birth. FINDINGS: From a total of 15,800 medical toxicology consultations, 213 (1.3%) involved both TG (n = 187, 1.2%) and GNC (n = 26, 0.2%), and 15,587 (98.7%) involved CG. Among TG, 128 (68.8%) were transgender men, 58 (31.2%) transgender women. Sixty-two percent of TG/GNC (n = 132) and 34.8% of CG (n = 5,428) were aged ≤18 years. Reported intent for exposure (i.e., self-harm and misuse/harmful use) differed proportionally across both sexes assigned at birth and gender identity among transgender men and cisgender men. IMPLICATIONS: In the ToxIC Core Registry, the consultations varied proportionally by age group across TG/GNC and CG, with more than half of TG/GNC aged ≤18 years. The proportion of consultations also varied by intent across TG/GNC and CG. Further research to delineate differences between TG/GNC and CG could increase knowledge in prevention, assessment, and treatment of drug poisonings in this population.

BACKGROUND: Opioid-involved overdoses, especially those involving synthetic opioids like fentanyl, have driven increases in overdose morbidity and mortality. Emergency medical services (EMS) and emergency department (ED) data can each provide near real-time information on trends in nonfatal opioid-involved overdoses; however, minimal data exist on the comparability of trends in these two data sources. METHODS: EMS data from biospatial© and ED data from CDC's Drug Overdose Surveillance and Epidemiology system and National Syndromic Surveillance Program were queried for nine states. Counts of total encounters, opioid-involved overdose encounters, and rates of opioid-involved overdoses per 10,000 total encounters were calculated for each data source from 2020-2022. Trends in monthly counts and rates were assessed using Joinpoint regression. RESULTS: On average, EMS data captured 1.8 times more monthly opioid-involved overdose encounters than ED data. Trends in the counts of opioid-involved overdose encounters were similar in both data sources with increases and decreases occurring during roughly the same periods. Overall, trends in rates of opioid-involved overdose encounters were also comparable. CONCLUSIONS: EMS and ED data provide complementary information for understanding overdose trends. Study findings underscore the importance of implementing post-overdose response protocols by both EMS and ED providers to ensure patient receive services irrespective of care setting.

BACKGROUND: Nonfatal drug overdoses (NFODs) are often attributed to individual behaviors and risk factors; however, identifying community-level social determinants of health (SDOH) associated with increased NFOD rates may allow public health and clinical providers to develop more targeted interventions to address substance use and overdose health disparities. CDC's Social Vulnerability Index (SVI), which aggregates social vulnerability data from the American Community Survey to produce ranked county-level vulnerability scores, can help identify community factors associated with NFOD rates. This study aims to describe associations between county-level social vulnerability, urbanicity, and NFOD rates. METHODS: We analyzed county-level 2018-2020 emergency department (ED) and hospitalization discharge data submitted to CDC's Drug Overdose Surveillance and Epidemiology system. Counties were ranked in vulnerability quartiles based on SVI data. We used crude and adjusted negative binomial regression models, by drug category, to calculate rate ratios and 95% confidence intervals comparing NFOD rates by vulnerability. RESULTS: Generally, as social vulnerability scores increased, ED and hospitalization NFOD rates increased; however, the magnitude of the association varied across drugs, visit type, and urbanicity. SVI-related theme and individual variable analyses highlighted specific community characteristics associated with NFOD rates. CONCLUSIONS: The SVI can help identify associations between social vulnerabilities and NFOD rates. Development of an overdose-specific validated index could improve translation of findings to public health action. The development and implementation of overdose prevention strategies should consider a socioecological perspective and address health inequities and structural barriers associated with increased risk of NFODs at all levels of the social ecology.

Vibrio parahaemolyticus is the leading cause of seafood-related foodborne illness globally. In 2018, the U.S. federal, state, and local public health and regulatory partners investigated a multistate outbreak of V. parahaemolyticus infections linked to crabmeat that resulted in 26 ill people and nine hospitalizations. State and U.S. Food and Drug Administration (FDA) laboratories recovered V. parahaemolyticus, Salmonella spp., and Listeria monocytogenes isolates from crabmeat samples collected from various points of distribution and conducted phylogenetic analyses of whole-genome sequencing data. Federal, state, and local partners conducted traceback investigations to determine the source of crabmeat. Multiple Venezuelan processors that supplied various brands of crabmeat were identified, but a sole firm was not confirmed as the source of the outbreak. Travel restrictions between the United States and Venezuela prevented FDA officials from conducting on-site inspections of cooked crabmeat processors. Based on investigation findings, partners developed public communications advising consumers not to eat crabmeat imported from Venezuela and placed potentially implicated firms on import alerts. While some challenges limited the scope of the investigation, epidemiologic, traceback, and laboratory evidence identified the contaminated food and country of origin, and contributed to public health and regulatory actions, preventing additional illnesses. This multistate outbreak illustrates the importance of adhering to appropriate food safety practices and regulations for imported seafood.

Reports of Salmonella enterica I serotype 4,[5],12:i:- infections resistant to ampicillin, streptomycin, sulphamethoxazole, and tetracycline (ASSuT) have been increasing. We analyzed data from 5 national surveillance systems to describe the epidemiology, resistance traits, and genetics of infections with this Salmonella strain in the United States. We found ASSuT-resistant Salmonella 4,[5],12:i:- increased from 1.1% of Salmonella infections during 2009-2013 to 2.6% during 2014-2018; the proportion of Salmonella 4,[5],12:i:- isolates without this resistance pattern declined from 3.1% to 2.4% during the same timeframe. Among isolates sequenced during 2015-2018, a total of 69% were in the same phylogenetic clade. Within that clade, 77% of isolates had genetic determinants of ASSuT resistance, and 16% had genetic determinants of decreased susceptibility to ciprofloxacin, ceftriaxone, or azithromycin. Among outbreaks related to the multidrug-resistant clade, 63% were associated with pork consumption or contact with swine. Preventing Salmonella 4,[5],12:i:- carriage in swine would likely avert human infections with this strain.

The number of nonfatal opioid-involved overdoses treated by health care providers has risen in the United States; the median number of emergency department (ED) visits for these overdoses was significantly higher during 2020 than during 2019 (1). ED visit data can underestimate nonfatal opioid-involved overdose incidence because, increasingly, persons experiencing a nonfatal opioid overdose are refusing transport to EDs by emergency medical services (EMS) (2). A study in Kentucky found that during a 6-month period, 19.8% of persons treated by EMS for an opioid overdose refused transport to an ED (2). Thus, EMS encounter data involving suspected nonfatal opioid-involved overdoses complement ED data and also allow for near real-time analysis (3). This report describes trends in rates of EMS encounters for nonfatal opioid-involved overdoses per 10,000 total EMS encounters (rates) by selected patient- and county-level characteristics during January 2018–March 2022 in 491 counties from 21 states using data from biospatial, Inc.* During this period, the nonfatal opioid-involved overdose rate increased, on average, 4.0% quarterly. Rates increased for both sexes and for most age groups. Rates were highest among non-Hispanic White (White) and non-Hispanic Native Hawaiian or other Pacific Islander (NH/OPI) persons, and increases were largest among non-Hispanic Black (Black), followed by Hispanic or Latino (Hispanic) persons. Rates increased in both urban and rural counties and for all quartiles of county-level characteristics (i.e., unemployment, education, and uninsured), except in counties with the lowest percentage of uninsured persons. Rates were highest and rate increases were largest in urban counties and counties with higher unemployment rates. This analysis of nonfatal opioid-involved overdose trends in EMS data highlights the utility of these data and the importance of addressing inequities that contribute to disproportionate overdose risk, such as through focused outreach to racial and ethnic minority groups, who disproportionately experience these inequities, and communities with higher levels of unemployment. EMS providers are in a unique position to engage in postoverdose response protocols and promote evidence-based overdose education and facilitate linkage to care and harm reduction services.†,§

Provision of safe drinking water in the United States is a great public health achievement. However, new waterborne disease challenges have emerged (e.g., aging infrastructure, chlorine-tolerant and biofilm-related pathogens, increased recreational water use). Comprehensive estimates of the health burden for all water exposure routes (ingestion, contact, inhalation) and sources (drinking, recreational, environmental) are needed. We estimated total illnesses, emergency department (ED) visits, hospitalizations, deaths, and direct healthcare costs for 17 waterborne infectious diseases. About 7.15 million waterborne illnesses occur annually (95% credible interval [CrI] 3.88 million-12.0 million), results in 601,000 ED visits (95% CrI 364,000-866,000), 118,000 hospitalizations (95% CrI 86,800-150,000), and 6,630 deaths (95% CrI 4,520-8,870) and incurring US $3.33 billion (95% CrI 1.37 billion-8.77 billion) in direct healthcare costs. Otitis externa and norovirus infection were the most common illnesses. Most hospitalizations and deaths were caused by biofilm-associated pathogens (nontuberculous mycobacteria, Pseudomonas, Legionella), costing US $2.39 billion annually.

The coronavirus disease 2019 (COVID-19) pandemic resulted in 5,817,385 reported cases and 362,705 deaths worldwide through May, 30, 2020,(dagger) including 1,761,503 aggregated reported cases and 103,700 deaths in the United States.( section sign) Previous analyses during February-early April 2020 indicated that age >/=65 years and underlying health conditions were associated with a higher risk for severe outcomes, which were less common among children aged <18 years (1-3). This report describes demographic characteristics, underlying health conditions, symptoms, and outcomes among 1,320,488 laboratory-confirmed COVID-19 cases individually reported to CDC during January 22-May 30, 2020. Cumulative incidence, 403.6 cases per 100,000 persons,( paragraph sign) was similar among males (401.1) and females (406.0) and highest among persons aged >/=80 years (902.0). Among 599,636 (45%) cases with known information, 33% of persons were Hispanic or Latino of any race (Hispanic), 22% were non-Hispanic black (black), and 1.3% were non-Hispanic American Indian or Alaska Native (AI/AN). Among 287,320 (22%) cases with sufficient data on underlying health conditions, the most common were cardiovascular disease (32%), diabetes (30%), and chronic lung disease (18%). Overall, 184,673 (14%) patients were hospitalized, 29,837 (2%) were admitted to an intensive care unit (ICU), and 71,116 (5%) died. Hospitalizations were six times higher among patients with a reported underlying condition (45.4%) than those without reported underlying conditions (7.6%). Deaths were 12 times higher among patients with reported underlying conditions (19.5%) compared with those without reported underlying conditions (1.6%). The COVID-19 pandemic continues to be severe, particularly in certain population groups. These preliminary findings underscore the need to build on current efforts to collect and analyze case data, especially among those with underlying health conditions. These data are used to monitor trends in COVID-19 illness, identify and respond to localized incidence increase, and inform policies and practices designed to reduce transmission in the United States.