ライフサイエンスコーパス: opioid overdose

1 the KF may be a powerful approach to combat opioid overdose.

2 S residents 55 years or older died due to an opioid overdose.

3 00,000 people in the United States died from opioid overdose.

4 as associated with a small increased risk of opioid overdose.

5 , more than 80 000 US residents died from an opioid overdose.

6 iderations for training in the management of opioid overdose.

7 g medication for individuals experiencing an opioid overdose.

8 development of next-generation antidotes for opioid overdose.

9 tributes to dose escalation and consequently opioid overdose.

10 sorder, or identified as having had a recent opioid overdose.

11 e therapy is associated with a lower risk of opioid overdose.

12 disorder, is important to prevent recurrent opioid overdose.

13 ver effective interventions in patients with opioid overdose.

14 d ED patients in aged 18 years or older with opioid overdose.

15 he United States is experiencing a crisis of opioid overdose.

16 men [56.5%]), of whom 667 (0.3%) experienced opioid overdose.

17 opioids and stimulants and were at risk for opioid overdose.

18 owing an emergency department (ED) visit for opioid overdose.

19 for individuals who are at greatest risk for opioid overdose.

20 s part of a multifaceted approach to address opioid overdose.

21 lated risk factors that were associated with opioid overdose.

22 d 109 500 people (105 800-113 600) died from opioid overdose.

23 xone, the standard of care drug for treating opioid overdose.

24 ntly associated with death from prescription opioid overdose.

25 ist, are currently used for the treatment of opioid overdose.

26 .3% were treated for a nonfatal prescription-opioid overdose.

27 mg, and treatment for nonfatal prescription-opioid overdose.

28 percent of patients (n = 212) had a repeated opioid overdose.

29 rmalizing MOR signaling during addiction and opioid overdose.

30 ioid side effects as well as the reversal of opioid overdose.

31 e system agreed that 169 visits (36.7%) were opioid overdoses.

32 isits (75.6%; 95% CI, 70.4%-80.2%) were true opioid overdoses.

33 isits (90.8%; 95% CI, 87.2%-93.8%) were true opioid overdoses.

34 classification of suicides as car crashes or opioid overdoses.

35 as followed up to identify fatal or nonfatal opioid overdoses.

36 jor contributor to the rising mortality from opioid overdoses.

37 se disorder, and over 100 die every day from opioid overdoses.

38 patient visit), 359 visits (78.0%) were true opioid overdoses.

39 umber of OODs and ratio of fatal to nonfatal opioid overdoses.

40 onthly rates of methadone receipt (1.4%) and opioid overdose (1.8%) were not significantly different

41 Monthly rates of methadone receipt (1.1%), opioid overdose (4.8%), and all-cause mortality (1.6%) w

42 significantly associated with lower risks of opioid overdose (6.9% vs 9.5%/person-year; weighted haza

43 c pain have been accompanied by increases in opioid overdoses, abuse, and other harms and uncertainty

44 Opioid overdose accounts for nearly 75,000 deaths per ye

45 hazard ratio, 2.85; 95% CI, 1.54-5.47), and opioid overdose (adjusted hazard ratio, 5.12; 95% CI, 1.

46 duced RRs of total and natural/semisynthetic opioid overdoses (adjusted RR = 0.86, 95% CrI: 0.80, 0.9

47 Lethal opioid overdoses also increased dramatically, especially

48 The weighted hazard ratio (HRw) of opioid overdose among patients initiating ADFs was 0.87

49 on opioids are involved in more than half of opioid overdoses among younger persons.

50 this pathway are potential targets to treat opioid overdose and abuse.

51 eral prefrontal cortex of people who died of opioid overdose and control individuals.

52 The most common cause of opioid overdose and death is opioid-induced respiratory

53 itudinal case-control study compared patient opioid overdose and health care spending in buprenorphin

54 o buprenorphine may increase patient risk of opioid overdose and increase health care spending.

55 ive emotional states can lead to involuntary opioid overdose and many neuropsychiatric comorbidities.

56 Opioid analgesic tolerance, a root cause of opioid overdose and misuse, can develop through an assoc

57 apable of distinguishing between episodes of opioid overdose and nerve agent poisoning.

58 uation was associated with increased risk of opioid overdose and OUD during long-term follow-up.

59 a desirable treatment modality for synthetic opioid overdose and possibly opioid use disorder.

60 Opioid overdose and related diseases remain a growing pu

61 Opioid overdose and total, medical, and drug spending (c

62 , and applied a mechanistic model of risk of opioid overdose and used it to estimate the expected red

63 They found a decrease in numbers of opioid-overdose and car-crash deaths compared with what

64 eceipt of MOUD within 4 weeks after release, opioid overdose, and all-cause mortality within 8 weeks

65 s of mortality, hospitalization, episodes of opioid overdose, and opioid dependence compared with pat

66 xone is an opioid antagonist used to reverse opioid overdose, and take-home naloxone programs aim to

67 and external causes, which include suicides, opioid overdoses, and accidents).

68 spreading in North America with millions of opioid overdoses annually.

69 While opioid overdose antidotes such as naloxone, and nalmefen

70 Fatal and nonfatal opioid overdoses are at record levels, and emergency dep

71 demographics, and the geographical spread of opioid overdose as model predictors.

72 ss-sectional study of adults who died due to opioid overdose at 55 years or older stratified by sex a

73 vered included training for the treatment of opioid overdose; basic life support, including automated

74 , or have significant new literature include opioid overdose, bleeding control, open chest wounds, sp

75 ettings might reduce the risk of postrelease opioid overdose but are uncommonly offered.

76 ay have contributed to reducing prescription opioid overdoses but increased overdoses involving illeg

77 ons in high-risk opioid prescribing and some opioid overdoses but raise concerns regarding unintended

78 Naloxone is effective for reversing opioid overdose, but optimal strategies for out-of-hospi

79 o be available for at least 80% of witnessed opioid overdoses, by US state and access point.

80 his cross-sectional study found that the CDC opioid overdose case definition more often identified tr

81 The comparative accuracy of the CDC opioid overdose case definition vs existing state opioid

82 Of 318 visits meeting the CDC opioid overdose case definition, 289 visits (90.8%; 95%

83 Among 460 ED visits that met the CDC opioid overdose case definition, were reported to the RI

84 e case definition more often identified true opioid overdoses compared with the Rhode Island overdose

85 ide public health efforts in confronting the opioid overdose crisis across local areas.

86 The opioid overdose crisis in North America worsened during

87 An important challenge to addressing the opioid overdose crisis is the lack of information on the

88 abis has been touted as a solution to the US opioid overdose crisis since Bachhuber et al. found that

89 have been disproportionately affected by the opioid overdose crisis.

90 tively affect states' efforts to address the opioid overdose crisis.

91 erapy and reduce harms in the context of the opioid overdose crisis.

92 research aimed at finding treatments for the opioid overdose crisis.

93 We examined statewide data on opioid overdose death from Rhode Island and 203 covariat

94 Predictors of opioid overdose death in neighborhoods are important to

95 me proxy data sources estimated the national opioid overdose death rate for 2018 and 2019 with an err

96 Opioid overdose death rates have increased steadily for

97 es and 3 Canadian provinces with the highest opioid overdose death rates.

98 t enacting medical cannabis laws will reduce opioid overdose death should be met with skepticism.

99 ping community-level interventions to reduce opioid overdose death.

100 doses were associated with increased risk of opioid overdose death.

101 We analyzed county-level opioid overdose deaths (National Vital Statistics System

102 measure the influence of social networks on opioid overdose deaths (OODs) in US counties.

103 examines US trends in polysubstance-involved opioid overdose deaths among adolescents and young adult

104 o died due to opioid overdose, the burden of opioid overdose deaths among older adults since 2013 was

105 ented in the overall increase in the rate of opioid overdose deaths among older adults.

106 The data include all opioid overdose deaths among this age group that occurre

107 ing with OUD globally in 2016, with >100,000 opioid overdose deaths annually, including >47,000 in th

108 Rates of opioid overdose deaths are increasing for older adults.

109 5% credible intervals (CrIs) in county-level opioid overdose deaths associated with enactment of thes

110 xone distribution on the estimated number of opioid overdose deaths averted with naloxone and the num

111 8 and 2019 and compared with actual observed opioid overdose deaths from the National Vital Statistic

112 cohol (ethanol), and post-mortem analyses of opioid overdose deaths have revealed an inverse correlat

113 Chronic pain and opioid overdose deaths highlight the need for non-addict

114 Model-based predictions of weekly opioid overdose deaths in the United States were made fo

115 In response to the increase in opioid overdose deaths in the United States, many states

116 Given the high number of opioid overdose deaths in the US and the complex epidemi

117 fectiveness of the legislation in preventing opioid overdose deaths in this region.

118 supply was not independently associated with opioid overdose deaths in this time period.

119 edical and recreational cannabis supply, and opioid overdose deaths in United States counties in 2013

120 In the USA, an epidemic of opioid overdose deaths is occurring, many of which are f

121 al tenet of harm reduction and prevention of opioid overdose deaths is the distribution and use of na

122 During this time, opioid overdose deaths peaked at 59 deaths per 100 000 p

123 Annual rates of opioid overdose deaths per 100 000 persons 55 years or o

124 Rates of opioid overdose deaths per 100 000 population by sex and

125 Opioid overdose deaths remain a major public health cris

126 regression model, and weekly predictions of opioid overdose deaths were made for 2018 and 2019 to va

127 y to reducing illicit opioid use, preventing opioid overdose deaths, and reducing the comorbidities a

128 AMs) may serve as useful tools in preventing opioid overdose deaths, but promising chemical scaffolds

129 oyment of evidence-based practices to reduce opioid overdose deaths, death rates were similar in the

130 edication for opioid use disorder preventing opioid overdose deaths, is unknown.

131 imate causes of the decline are increases in opioid overdose deaths, suicide, homicide, and Alzheimer

132 other countries facing increasing numbers of opioid overdose deaths.

133 such as fentanyl, a driver of high levels of opioid overdose deaths.

134 d to train and validate prediction models of opioid overdose deaths.

135 Opioid overdose, dependence, and addiction are a major p

136 .20-3.79) times more likely to experience an opioid overdose during buprenorphine treatment gap month

137 l study quantifies the added burden of fatal opioid overdoses during the first 6 months of the COVID-

138 naloxone acquisition and carrying can guide opioid overdose education and naloxone distribution effo

139 Secondary prevention, including counseling, opioid overdose education with take-home naloxone, and m

140 hese factors have contributed to the current opioid overdose epidemic driven by fentanyl(2), a highly

141 The US opioid overdose epidemic has been a major public health

142 The current opioid overdose epidemic highlights the urgent need to d

143 is suggests that the increasing rates of the opioid overdose epidemic in Ohio were driven by the epid

144 In the midst of the prescription opioid overdose epidemic, electronic surveillance tools

145 xacerbated the opioid use disorder (OUD) and opioid overdose epidemic.

146 o analyze the spatiotemporal dynamics of the opioid overdose epidemic.

147 intertwined human immunodeficiency virus and opioid overdose epidemics.

148 ale to that of the decades-long HIV/AIDS and opioid-overdose epidemics but considerably smaller than

149 e spatial associations between georeferenced opioid overdose event (OOE) data from emergency medical

150 iration and apneic motion associated with an opioid overdose event using a pair of on-body accelerome

151 e without human intervention, and report the opioid overdose event.

152 iation between receipt of MOUD and having an opioid overdose event.

153 ntitatively modeled how an individual's past opioid overdose events affect future occurrences.

154 challenge in the U.S. Accurately predicting opioid overdose events and stratifying the risk of havin

155 model the effect of various risk factors on opioid overdose events and the triggering mechanism amon

156 ering the triggering mechanism for recurrent opioid overdose events prediction.

157 A total of 28 747 opioid overdose events were observed during the study pe

158 se events and the triggering mechanism among opioid overdose events.

159 The main outcome was incident opioid overdose (fatal or nonfatal) or diagnosed OUD.

160 rmacy naloxone standing orders in addressing opioid overdose fatality among communities.

161 By 2019, the opioid overdose fatality rate among non-Hispanic Black m

162 population, 4 times greater than the overall opioid overdose fatality rate of 10.70 per 100 000 for p

163 igible communities were those reporting high opioid overdose fatality rates in Kentucky, Massachusett

164 nnel blockers is associated with the risk of opioid overdose, finding no increased risk.

165 ability is associated with increased odds of opioid overdose for others in the household, even if the

166 rrent protocols include the consideration of opioid overdose for patients with possible out-of-hospit

167 18 to 64 years who were treated for nonfatal opioid overdose from January 2015 to June 2020 at 70 New

168 4 to 2019 on emergency department visits for opioid overdose from the National Syndromic Surveillance

169 lence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032.

170 While opioid overdose has begun to decrease in recent years, s

171 with this change in practice, rates of fatal opioid overdose have increased.

172 sequences of this interaction on the risk of opioid overdose have not been elucidated.

173 Unintentional deaths due to opioid overdoses have continued to rise inexorably.

174 Deaths due to prescription opioid overdoses have increased dramatically.

175 e prevalent in men, opioid relapse and fatal opioid overdoses have recently increased at a higher rat

176 decision analytical Markov model to simulate opioid overdose, HIV incidence, overdose-related deaths,

177 Opioid overdose hospitalization or emergency department

178 3-0.93) were associated with reduced risk of opioid overdose; however, taper duration was not.

179 on (HR, 1.51; 95% CI, 1.49-1.53; P < 0.001), opioid overdose (HR, 7.31; 95% CI, 6.20-8.61, P < 0.001)

180 icators of vulnerability for the syndemic of opioid overdose, human immunodeficiency virus (HIV), and

181 onic health records (EHRs) were reviewed for opioid overdoses identified by the CDC case definition a

182 undetermined-intent death from prescription opioid overdose, identified from the National Death Inde

183 215 case patients who died of a prescription opioid overdose in 2012 or 2013 were matched (up to 1:4)

184 e of administration and dosing for suspected opioid overdose in out-of-hospital settings on mortality

185 ly used antibiotic, has been associated with opioid overdose in patients with long-term opioid use, b

186 individuals were estimated to be at risk for opioid overdose in Rhode Island based on current populat

187 s annually among all individuals at risk for opioid overdose in Rhode Island.

188 le) with death by unintentional prescription opioid overdose in subgroups defined by clinical diagnos

189 The rates of opioid overdose in the United States quadrupled between

190 The adjusted incidence rate of opioid overdose in those using inhibiting SSRIs at the t

191 Reversing opioid overdoses in rats using a drug that does not ente

192 The continuous rise in opioid overdoses in the United States is predominantly d

193 Opioid overdoses in the US likely reached a record high

194 Primary outcomes were opioid overdose, interruption in OAT, and OAT discontinu

195 ved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be ach

196 Opioid overdose is a leading cause of accidental death i

197 Opioid overdose is a leading public health problem in th

198 Nonfatal opioid overdose is an opportunity to identify and treat

199 Thus, many lives are lost because: (1) an opioid overdose is not anticipated (i.e., monitored/dete

200 mately 48,000 attributed deaths in 2017, the opioid overdose is now the leading cause of death amongs

201 The main cause of death from opioid overdose is respiratory depression due to the act

202 The primary cause of death from opioid overdose is respiratory failure.

203 s unconscious and not breathing normally; if opioid overdose is suspected, naloxone should also be ad

204 Opioid overdose is the leading cause of death for Americ

205 Nonfatal opioid overdose is the leading risk factor for subsequen

206 Death from opioid overdose is typically caused by opioid-induced re

207 circulatory death (DCD) donors who died from opioid overdose is unknown.

208 verdose, we remotely visited 2018-2019 fatal opioid overdose locations in New York City (n = 2867) an

209 Unfortunately, opioid-overdoses may occur in the absence of antidote, o

210 While naloxone remains the antidote for opioid overdoses, more efficient tools are required to e

211 sed it to estimate the expected reduction in opioid overdose mortality after deployment of a given nu

212 in and fentanyl with consequent increases in opioid overdose mortality As injection replaced oral con

213 Opioid overdose mortality has been increasing in the Uni

214 In the United States, combined stimulant/opioid overdose mortality has risen dramatically over th

215 Because opioid overdose mortality is often associated with econo

216 tion between state medical cannabis laws and opioid overdose mortality reversed direction from -21% t

217 Cocaine/opioid overdose mortality rose sharply among Hispanic an

218 ata sources can be used to estimate national opioid overdose mortality trends to provide a more timel

219 services and were associated with increased opioid overdose mortality, it is important to examine ho

220 nintended negative consequence of increasing opioid overdose mortality.

221 annabis laws were associated with changes in opioid overdose mortality.

222 ion-has exerted large conflicting effects on opioid overdose mortality.

223 s and opioid use disorder (OUD, n = 235) and opioid overdose (n = 18) through 6 months of follow-up u

224 ds and outcomes of in-hospital postoperative opioid overdose (OD) and identify predictors of postoper

225 (ED) visits, opioid use disorder (OUD), and opioid overdose (OD).

226 n the emergency department (ED) with illicit opioid overdose (OD).

227 s treated in emergency departments (EDs) for opioid overdose often need drug treatment yet are rarely

228 In this cohort study of patients treated for opioid overdose, OORP implementation was associated with

229 surgery, with postoperative hospitalization, opioid overdose, opioid dependence, and all-cause mortal

230 ort- and long-term risks of hospitalization, opioid overdose, opioid dependency/abuse, and death were

231 ong-term opioid therapy may increase risk of opioid overdose or opioid use disorder (OUD).

232 Time to opioid overdose or suicide event identified from Interna

233 The adjusted cumulative incidence of opioid overdose or suicide events 11 months after baseli

234 s, individuals at various levels of risk for opioid overdose, or people who misuse prescription opioi

235 eristics as important risk factors for fatal opioid overdose over and above sociodemographics.

236 havior scores (P < .001), and lower rates of opioid overdose (P = .04).

237 rs of nonfatal, unintentional opioid-related opioid overdoses presenting to a US urban emergency depa

238 tance of increasing access to evidence-based opioid overdose prevention strategies and opioid use dis

239 The ongoing epidemics of opioid overdose raises an urgent need for effective anti

240 including urban/rural classification, fatal opioid overdose rate, and community population.

241 ban or rural classification, 2016-2017 fatal opioid overdose rate, and community population.

242 cation in a Medicaid expansion state, county opioid overdose rate, and county social vulnerability.

243 del (direct employees or contracted), county opioid overdose rate, county social vulnerability, and a

244 Opioid overdose rates continue to increase, and extant l

245 In this review, we present trends in opioid overdose rates during this period and discuss how

246 n persons with opioid use disorder, increase opioid overdose rates, reverse system-level gains in exp

247 ations of community-level interventions with opioid overdose rates.

248 to participate if they were in the ED for an opioid overdose, receiving treatment related to an opioi

249 ousing status, income, time in study, recent opioid overdose, recent drug treatment, and needle and s

250 ing epidemic with over 100,000 deaths due to opioid overdoses recorded in 2021 alone.

251 ssociated with a significantly lower risk of opioid overdose, regardless of taper duration.

252 Opioid overdose related deaths have increased dramatical

253 United States have had a greater increase in opioid overdose-related mortality than other groups, but

254 es identified by the CDC case definition and opioid overdoses reported to the RIDOH state surveillanc

255 ve uOR that enhances the affinity of the key opioid overdose reversal molecule, naloxone.

256 between 2010 and 2017 had a lower associated opioid overdose risk and spending during treatment month

257 Cumulative 30-day opioid overdose risk ranged between 0.04% and 0.12% acro

258 he role of household opioid prescriptions in opioid overdose risk were limited to commercial claims,

259 The findings suggest that opioid overdose risks can be mitigated by encouraging sa

260 ty groups experienced increased COVID-19 and opioid overdose risks compared with White individuals.

261 The probability of bystander presence at an opioid overdose showed the greatest proportional contrib

262 ity of Cincinnati experiencing a 50% rise in opioid overdoses since 2015.

263 Opioid overdose suppresses brainstem respiratory circuit

264 emporal resolution, they can be effective as opioid overdose surveillance indicators for basic resear

265 gests that using the CDC case definition for opioid overdose surveillance may be associated with impr

266 case definition, were reported to the RIDOH opioid overdose surveillance system, or both (mean [SD]

267 d overdose case definition vs existing state opioid overdose surveillance systems is unknown.

268 ing in 2013 with the main purpose of linking opioid overdose survivors to addiction treatment and har

269 f patients admitted to the ED with confirmed opioid overdose testing positive for NPOs, in-hospital n

270 antly higher odds of death from prescription opioid overdose than those who received opioids from VA

271 eral prefrontal cortex of people who died of opioid overdose that implicated the Akt, BDNF (brain-der

272 s, New York, and Ohio) with a high burden of opioid overdoses that had not yet received the HCS inter

273 sectional study of US adults who died due to opioid overdose, the burden of opioid overdose deaths am

274 ile there are approved therapeutics to treat opioid overdoses, the need for treatments to reverse ove

275 nic kidney disease (CKD) are at high risk of opioid overdose, therefore novel methods that provide ac

276 ay Traffic Safety Administration's non-fatal opioid overdose tracker, and the Drug Enforcement Agency

277 ty-level estimates of rates of treatment and opioid overdose using the numbers of PWMO as denominator

278 (Prevention and Rescue of Fentanyl and Other Opioid Overdoses Using Optimized Naloxone Distribution S

279 videnced by the rapid onset of its action in opioid overdose victims, was directly documented in huma

280 RTICIPANTS: This cross-sectional study of ED opioid overdose visits was conducted at 2 EDs in Provide

281 methoxazole/trimethoprim, the weighted HR of opioid overdose was 1.09 (95% CI, 0.79-1.50) for nitrofu

282 Accurate identification of an opioid overdose was assessed by estimating the positive

283 Nonfatal opioid overdose was identified using International Class

284 al and social neighborhood factors and fatal opioid overdose, we remotely visited 2018-2019 fatal opi

285 Opioid overdoses were captured from insurance claims, de

286 at of intramuscular naloxone for reversal of opioid overdose, with no difference in adverse events.

287 utcome measure was time to fatal or nonfatal opioid overdose within 18 months following treatment dis

288 the Naloximeter rescues from otherwise fatal opioid overdose within minutes.

289 depression (OIRD) causes death following an opioid overdose, yet the neurobiological mechanisms of t