Fatal opioid-detected overdoses in Region 5, 2018-2022
Race
2018
2019
2020
2021
2022
Sex
2018
2019
2020
2021
2022
Race and sex
2018
2019
2020
2021
2022
Age
2018
2019
2020
2021
2022
Day of week
2018
2019
2020
2021
2022
Month
2018
2019
2020
2021
2022
Town of OD
2018
2019
2020
2021
2022
Injury town v. residence town
2018
## [1] "There were 18 instances where a person's residence town didn't match up with their injury town, out of 168 ODs in 2018 in region 5. This is 0.107143 of all ODs in this year."## [1] "Here's a more in-depth look at out-of-town ODs in specific towns:"## Town name Out-of-town ODs Total ODs Proportion of out-of-town ODs
## 1 Danbury 3 15 0.2
## 2 Waterbury 5 66 0.082019
## [1] "There were 32 instances where a person's residence town didn't match up with their injury town, out of 212 ODs in 2019 in region 5. This is 0.150943. "## [1] "Here's a more in-depth look at out-of-town ODs in specific towns:"## Town name Out-of-town ODs Total ODs Proportion of out-of-town ODs
## 1 Danbury 3 16 0.19
## 2 Waterbury 15 91 0.162020
## [1] "There were 27 instances where a person's residence town didn't match up with their injury town, out of 214 ODs in 2020 in region 5. This is 0.126168. "## [1] "Here's a more in-depth look at out-of-town ODs in specific towns:"## Town name Out-of-town ODs Total ODs Proportion of out-of-town ODs
## 1 Danbury 2 23 0.09
## 2 Waterbury 12 87 0.142021
## [1] "There were 31 instances where a person's residence town didn't match up with their injury town, out of 205 ODs in 2021 in region 5. This is 0.151220. "## [1] "Here's a more in-depth look at out-of-town ODs in specific towns:"## Town name Out-of-town ODs Total ODs Proportion of out-of-town ODs
## 1 Danbury 6 23 0.26
## 2 Waterbury 12 88 0.142022
## [1] "There were 35 instances where a person's residence town didn't match up with their injury town, out of 198 ODs in 2022 in region 5. This is 0.176768. "## [1] "Here's a more in-depth look at out-of-town ODs in specific towns:"## Town name Out-of-town ODs Total ODs Proportion of out-of-town ODs
## 1 Danbury 4 21 0.19
## 2 Waterbury 18 99 0.18Injury location
2018
2019
2020
2021
2022
Are people dying in their own homes?
2018
## [1] "There were 122 people who OD'd in their own residence."## [1] "The proportion of decedents ODing in their own residence was 0.709302."## [1] "Out of everyone who OD'd in a residence, 0.835616 of people OD'd in their own residence."2019
## [1] "There were 144 people who OD'd in their own residence."## [1] "The proportion of decedents ODing in their own residence was 0.640000."## [1] "Out of everyone who OD'd in a residence, 0.774194 of people OD'd in their own residence."2020
## [1] "There were 151 people who OD'd in their own residence."## [1] "The proportion of decedents ODing in their own residence was 0.671111."## [1] "Out of everyone who OD'd in a residence, 0.838889 of people OD'd in their own residence."2021
## [1] "There were 150 people who OD'd in their own residence."## [1] "The proportion of decedents ODing in their own residence was 0.707547."## [1] "Out of everyone who OD'd in a residence, 0.833333 of people OD'd in their own residence."2022
## [1] "There were 136 people who OD'd in their own residence."## [1] "The proportion of decedents ODing in their own residence was 0.673267."## [1] "Out of everyone who OD'd in a residence, 0.850000 of people OD'd in their own residence."Most common substances
2018
## Rows: 5
## Columns: 32
## Groups: cocaine, combo..her.pharm.or.fent..OR.pharm.fent, heronly, pharmonly, fentonly, heroin, X6.mam, morphine, hermor_nocod, codeine, cod_w_no_hermor, di.H.codeine, hydromorphone, oxymorphone, hydrocodone, oxycodone, methadone, buprenorphine, fentanyl..4ANPP.too., Frankens, fent.or.frankens, tramadol, opioid.analogs..e.g...U47700., otherop, pharma_w_meth_no_fent.or.op.analogs.or.cod.or..other.op., pharma_nobupnometh, other, benzos, amphetamine, EtOH [5]
## $ cocaine <int> 1, 0, 0, 0, 0
## $ combo..her.pharm.or.fent..OR.pharm.fent <int> 0, 1, 1, 0, 0
## $ heronly <int> 0, 0, 0, 0, 1
## $ pharmonly <int> 0, 0, 0, 0, 0
## $ fentonly <int> 1, 0, 0, 1, 0
## $ heroin <int> 0, 1, 1, 0, 1
## $ X6.mam <int> 0, 1, 1, 0, 1
## $ morphine <int> 0, 1, 1, 0, 1
## $ hermor_nocod <int> 0, 1, 1, 0, 1
## $ codeine <int> 0, 0, 0, 0, 0
## $ cod_w_no_hermor <int> 0, 0, 0, 0, 0
## $ di.H.codeine <int> 0, 0, 0, 0, 0
## $ hydromorphone <int> 0, 0, 0, 0, 0
## $ oxymorphone <int> 0, 0, 0, 0, 0
## $ hydrocodone <int> 0, 0, 0, 0, 0
## $ oxycodone <int> 0, 0, 0, 0, 0
## $ methadone <int> 0, 0, 0, 0, 0
## $ buprenorphine <int> 0, 0, 0, 0, 0
## $ fentanyl..4ANPP.too. <int> 1, 1, 1, 1, 0
## $ Frankens <int> 0, 0, 1, 1, 0
## $ fent.or.frankens <int> 1, 1, 1, 1, 0
## $ tramadol <int> 0, 0, 0, 0, 0
## $ opioid.analogs..e.g...U47700. <int> 0, 0, 0, 0, 0
## $ otherop <int> 0, 0, 0, 0, 0
## $ pharma_w_meth_no_fent.or.op.analogs.or.cod.or..other.op. <int> 0, 0, 0, 0, 0
## $ pharma_nobupnometh <int> 0, 0, 0, 0, 0
## $ other <int> 0, 0, 0, 1, 1
## $ benzos <int> 0, 0, 0, 0, 0
## $ amphetamine <int> 0, 0, 0, 0, 0
## $ EtOH <int> 0, 0, 0, 0, 0
## $ THC <int> 0, 0, 0, 0, 0
## $ n <int> 5, 4, 4, 3, 3The top 5 substance combinations for 2018 are:
- cocaine, fent only
- heroin, fent
- heroin, fent, fent analogs
- fent only, fent analogs, other
- heroin, other
2019
## Rows: 5
## Columns: 33
## Groups: xyla, combo, heronly, pharmonly, fentonly, Heroin, X6.mam, Morphine, hermor_nocod, Codeine, cod.w.no.hermor, di.H.codeine, Hydromorphone, oxymorphone, Hydrocodone, Oxycodone, Methadone, bup, fentanyl..4.ANPP.too., frankens, fent...frankens, tramadol, opioid.analogs..e.g...U47700., Other.Op, pharma.w.meth.bup.no.fent.or.other.op, pharma_nobupnometh, other, benzos, cocaine, amphetamine, EtOH [5]
## $ xyla <int> 0, 0, 0, 0, 0
## $ combo <int> 0, 0, 0, 1, 1
## $ heronly <int> 0, 0, 0, 0, 0
## $ pharmonly <int> 0, 0, 0, 0, 0
## $ fentonly <int> 1, 1, 1, 0, 0
## $ Heroin <int> 0, 0, 0, 1, 1
## $ X6.mam <int> 0, 0, 0, 1, 1
## $ Morphine <int> 0, 0, 0, 1, 1
## $ hermor_nocod <int> 0, 0, 0, 1, 1
## $ Codeine <int> 0, 0, 0, 0, 0
## $ cod.w.no.hermor <int> 0, 0, 0, 0, 0
## $ di.H.codeine <int> 0, 0, 0, 0, 0
## $ Hydromorphone <int> 0, 0, 0, 0, 0
## $ oxymorphone <int> 0, 0, 0, 0, 0
## $ Hydrocodone <int> 0, 0, 0, 0, 0
## $ Oxycodone <int> 0, 0, 0, 0, 0
## $ Methadone <int> 0, 0, 0, 0, 0
## $ bup <int> 0, 0, 0, 0, 0
## $ fentanyl..4.ANPP.too. <int> 1, 1, 1, 1, 1
## $ frankens <int> 0, 0, 0, 0, 0
## $ fent...frankens <int> 1, 1, 1, 1, 1
## $ tramadol <int> 0, 0, 0, 0, 0
## $ opioid.analogs..e.g...U47700. <int> 0, 0, 0, 0, 0
## $ Other.Op <int> 0, 0, 0, 0, 0
## $ pharma.w.meth.bup.no.fent.or.other.op <int> 0, 0, 0, 0, 0
## $ pharma_nobupnometh <int> 0, 0, 0, 0, 0
## $ other <int> 0, 0, 1, 0, 0
## $ benzos <int> 0, 0, 0, 0, 0
## $ cocaine <int> 0, 1, 1, 0, 1
## $ amphetamine <int> 0, 0, 0, 0, 0
## $ EtOH <int> 0, 0, 1, 0, 0
## $ THC <int> 0, 1, 0, 0, 0
## $ n <int> 10, 6, 6, 6, 6The top 5 substance combinations for 2019 are:
- fent only
- fent only, cocaine, weed
- fent only, other, cocaine, alcohol
- heroin, fent
- heroin, fent, cocaine
2020
## Rows: 5
## Columns: 32
## Groups: combo, heronly, pharmonly, fentonly, Heroin, X6.mam, Morphine, hermor_nocod, Codeine, cod.w.no.hermor, di.H.codeine, Hydromorphone, oxymorphone, Hydrocodone, Oxycodone, Methadone, bup, fentanyl..4.ANPP.too., frankens, fent...frankens, tramadol, opioid.analogs..e.g...U47700., Other.Op, pharma.w.meth.bup.no.fent.or.other.op, pharma_nobupnometh, other, benzos, cocaine, amphetamine, EtOH [4]
## $ combo <chr> "0", "0", "0", "0", "0"
## $ heronly <chr> "0", "0", "0", "0", "0"
## $ pharmonly <chr> "0", "0", "0", "0", "0"
## $ fentonly <chr> "1", "1", "1", "1", "1"
## $ Heroin <dbl> 0, 0, 0, 0, 0
## $ X6.mam <dbl> 0, 0, 0, 0, 0
## $ Morphine <dbl> 0, 0, 0, 0, 0
## $ hermor_nocod <dbl> 0, 0, 0, 0, 0
## $ Codeine <dbl> 0, 0, 0, 0, 0
## $ cod.w.no.hermor <dbl> 0, 0, 0, 0, 0
## $ di.H.codeine <dbl> 0, 0, 0, 0, 0
## $ Hydromorphone <dbl> 0, 0, 0, 0, 0
## $ oxymorphone <dbl> 0, 0, 0, 0, 0
## $ Hydrocodone <dbl> 0, 0, 0, 0, 0
## $ Oxycodone <dbl> 0, 0, 0, 0, 0
## $ Methadone <dbl> 0, 0, 0, 0, 0
## $ bup <dbl> 0, 0, 0, 0, 0
## $ fentanyl..4.ANPP.too. <dbl> 1, 1, 1, 1, 1
## $ frankens <dbl> 0, 0, 0, 0, 0
## $ fent...frankens <dbl> 1, 1, 1, 1, 1
## $ tramadol <dbl> 0, 0, 0, 0, 0
## $ opioid.analogs..e.g...U47700. <dbl> 0, 0, 0, 0, 0
## $ Other.Op <dbl> 0, 0, 0, 0, 0
## $ pharma.w.meth.bup.no.fent.or.other.op <dbl> 0, 0, 0, 0, 0
## $ pharma_nobupnometh <dbl> 0, 0, 0, 0, 0
## $ other <dbl> 1, 0, 0, 0, 0
## $ benzos <dbl> 0, 0, 0, 0, 0
## $ cocaine <dbl> 1, 1, 0, 1, 0
## $ amphetamine <dbl> 0, 0, 0, 0, 0
## $ EtOH <dbl> 0, 0, 0, 1, 0
## $ THC <dbl> 0, 0, 0, 0, 1
## $ n <int> 13, 12, 11, 9, 6The top 5 substance combinations for 2020 are:
- fent only, other, cocaine
- fent only, cocaine
- fent only
- fent only, cocaine, alcohol
- fent only, weed
2021
## Rows: 5
## Columns: 32
## Groups: combo, her.only, pharm.only, fent.only, Heroin, X6.mam, Morphine, hermor_nocod, Codeine, cod.w.no.hermor, di.H.codeine, Hydromorphone, oxymorphone, Hydrocodone, Oxycodone, Methadone, bup, fentanyl..4.ANPP.despropionyl.fent.too., frankens, fent...frankens, tramadol, opioid.analogs.e.g.mitragynine, Other.Op, pharma.w.meth.bup.no.fent.or.other.op, pharma_nobupnometh, other, benzos, cocaine, amphetamine..including.eutylone., EtOH [5]
## $ combo <int> 0, 0, 0, 0, 0
## $ her.only <int> 0, 0, 0, 0, 0
## $ pharm.only <int> 0, 0, 0, 0, 0
## $ fent.only <int> 1, 1, 1, 1, 1
## $ Heroin <int> 0, 0, 0, 0, 0
## $ X6.mam <int> 0, 0, 0, 0, 0
## $ Morphine <int> 0, 0, 0, 0, 0
## $ hermor_nocod <int> 0, 0, 0, 0, 0
## $ Codeine <int> 0, 0, 0, 0, 0
## $ cod.w.no.hermor <int> 0, 0, 0, 0, 0
## $ di.H.codeine <int> 0, 0, 0, 0, 0
## $ Hydromorphone <int> 0, 0, 0, 0, 0
## $ oxymorphone <int> 0, 0, 0, 0, 0
## $ Hydrocodone <int> 0, 0, 0, 0, 0
## $ Oxycodone <int> 0, 0, 0, 0, 0
## $ Methadone <int> 0, 0, 0, 0, 0
## $ bup <int> 0, 0, 0, 0, 0
## $ fentanyl..4.ANPP.despropionyl.fent.too. <int> 1, 1, 1, 1, 1
## $ frankens <int> 0, 0, 0, 0, 0
## $ fent...frankens <int> 1, 1, 1, 1, 1
## $ tramadol <int> 0, 0, 0, 0, 0
## $ opioid.analogs.e.g.mitragynine <int> 0, 0, 0, 0, 0
## $ Other.Op <int> 0, 0, 0, 0, 0
## $ pharma.w.meth.bup.no.fent.or.other.op <int> 0, 0, 0, 0, 0
## $ pharma_nobupnometh <int> 0, 0, 0, 0, 0
## $ other <int> 1, 1, 0, 1, 1
## $ benzos <int> 0, 0, 0, 0, 0
## $ cocaine <int> 0, 1, 0, 0, 1
## $ amphetamine..including.eutylone. <int> 0, 0, 0, 0, 0
## $ EtOH <int> 0, 0, 0, 1, 1
## $ THC <int> 0, 0, 0, 0, 0
## $ n <int> 9, 9, 8, 8, 8The top 5 substance combinations for 2021 are:
- fent only, other
- fent only, other, cocaine
- fent only
- fent only, other, alcohol
- fent only, other, cocaine, alcohol
2022
## Rows: 5
## Columns: 32
## Groups: combo, her.only, pharm.only, fent.only, Heroin, X6.mam, Morphine, hermor_nocod, Codeine, cod.w.no.hermor, di.H.codeine, Hydro.morphone, oxy.morphone, Hydro.codone, Oxy.codone, Methadone, bup, fentanyl..4.ANPP.despropionyl.fent.too., frankens, fent...frankens, tramadol, opioid.analogs.e.g.mitragynine, Other.Op, pharma.w.meth.bup.no.fent.or.other.op, pharma_nobupnometh, other, benzos, cocaine, amphetamine.including.eutylone.MDMA, EtOH [5]
## $ combo <int> 0, 0, 0, 0, 0
## $ her.only <int> 0, 0, 0, 0, 0
## $ pharm.only <int> 0, 0, 0, 0, 0
## $ fent.only <int> 1, 1, 1, 1, 1
## $ Heroin <int> 0, 0, 0, 0, 0
## $ X6.mam <int> 0, 0, 0, 0, 0
## $ Morphine <int> 0, 0, 0, 0, 0
## $ hermor_nocod <int> 0, 0, 0, 0, 0
## $ Codeine <int> 0, 0, 0, 0, 0
## $ cod.w.no.hermor <int> 0, 0, 0, 0, 0
## $ di.H.codeine <int> 0, 0, 0, 0, 0
## $ Hydro.morphone <int> 0, 0, 0, 0, 0
## $ oxy.morphone <int> 0, 0, 0, 0, 0
## $ Hydro.codone <int> 0, 0, 0, 0, 0
## $ Oxy.codone <int> 0, 0, 0, 0, 0
## $ Methadone <int> 0, 0, 0, 0, 0
## $ bup <int> 0, 0, 0, 0, 0
## $ fentanyl..4.ANPP.despropionyl.fent.too. <int> 1, 1, 1, 1, 1
## $ frankens <int> 0, 0, 0, 0, 0
## $ fent...frankens <int> 1, 1, 1, 1, 1
## $ tramadol <int> 0, 0, 0, 0, 0
## $ opioid.analogs.e.g.mitragynine <int> 0, 0, 0, 0, 0
## $ Other.Op <int> 0, 0, 0, 0, 0
## $ pharma.w.meth.bup.no.fent.or.other.op <int> 0, 0, 0, 0, 0
## $ pharma_nobupnometh <int> 0, 0, 0, 0, 0
## $ other <int> 1, 0, 0, 0, 1
## $ benzos <int> 0, 0, 0, 0, 0
## $ cocaine <int> 1, 1, 0, 1, 0
## $ amphetamine.including.eutylone.MDMA <int> 0, 0, 0, 0, 0
## $ EtOH <int> 0, 0, 0, 1, 0
## $ THC <int> 0, 0, 0, 0, 1
## $ n <int> 19, 14, 8, 8, 8The top 5 substance combinations for 2022 are:
- fent only, other, cocaine
- fent only, cocaine
- fent only
- fent only, cocaine, alcohol
- fent only, other, weed
How many people were using chronically?
I identify chronic users crudely – I look for entries where the words “chronic” [can sometimes indicate chronic pain, meaning opioid scripts], “Chronic”, “user”, “drug use”, “drug user”, “drug abuse”, “snort”, “snorts”, “drug abuse”, “addict”, “addicted”, “rehab”, “sober house”, “clean” or “abuse” pops up in either the notes field or immediate cause of death, because that generally means that the person had chronic drug use [based on my look at the data]
2018
## [1] "There were at least 47 people with known chronic use out of 172 decedents in 2018, which is 27.325581 percent of all decedents."2019
## [1] "There were at least 101 people with known chronic use out of 225 decedents in 2019, which is 44.888889 percent of all decedents."2020
## [1] "There were at least 118 people with known chronic use out of 225 decedents in 2020, which is 52.444444 percent of all decedents."2021
## [1] "There were at least 126 people with known chronic use out of 212 decedents in 2021, which is 59.433962 percent of all decedents."2022
## [1] "There were at least 105 people with known chronic use out of 202 decedents in 2022, which is 51.980198 percent of all decedents."Who did decedents live with?
Please note: this field and all fields explored below are only available up to 2020.
2018
2019
2020
% cases found in <24h and >=24h
2018
## [1] "There were 127 people found within 24 hours, which is 0.738372 of all decedents."## [1] "There were 25 people found in over 24 hours, which is 0.145349 of all decedents."2019
## [1] "There were 172 people found within 24 hours, which is 0.764444 of all decedents."## [1] "There were 43 people found in over 24 hours, which is 0.191111 of all decedents."2020
## [1] "There were 175 people found within 24 hours, which is 0.777778 of all decedents."## [1] "There were 30 people found in over 24 hours, which is 0.133333 of all decedents."Race of <24h and >=24h decedents
2018
Under 24h
Over 24h
2019
Under 24h
Over 24h
2020
Under 24h
Over 24h
Town of OD of <24h and >=24h decedents
2018
Under 24h
Over 24h
2019
Under 24h
Over 24h
2020
Under 24h
Over 24h
Injury location for <24h and >=24h
2018
Under 24h
Over 24h
2019
Under 24h
Over 24h
2020
Under 24h
Over 24h
