Fatal opioid-detected overdoses in Region 1, 2018-2022

Home Statewide Region 1 Region 2 Region 3 Region 4 Region 5 Region 6

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 11 instances where a person's residence town didn't match up with their injury town, out of 95 ODs in 2018 in region 1. This is 0.115789 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  Stamford               2        12                          0.17
## 2   Norwalk               1         8                          0.12

2019

## [1] "There were 15 instances where a person's residence town didn't match up with their injury town, out of 109 ODs in 2019 in region 1. This is 0.137615. "

## [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  Stamford               1         6                          0.17
## 2   Norwalk               0        13                             0

2020

## [1] "There were 19 instances where a person's residence town didn't match up with their injury town, out of 140 ODs in 2020 in region 1. This is 0.135714. "

## [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  Stamford               2        19                          0.11
## 2   Norwalk               2        17                          0.12

2021

## [1] "There were 20 instances where a person's residence town didn't match up with their injury town, out of 147 ODs in 2021 in region 1. This is 0.136054. "

## [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  Stamford               3        21                          0.14
## 2   Norwalk               1        13                          0.08

2022

## [1] "There were 18 instances where a person's residence town didn't match up with their injury town, out of 152 ODs in 2022 in region 1. This is 0.118421. "

## [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  Stamford               1        20                          0.05
## 2   Norwalk               3        23                          0.13

Injury location

2018

2019

2020

2021

2022

Are people dying in their own homes?

2018

## [1] "There were 66 people who OD'd in their own residence."

## [1] "The proportion of decedents ODing in their own residence was 0.680412."

## [1] "Out of everyone who OD'd in a residence, 0.880000 of people OD'd in their own residence."

2019

## [1] "There were 78 people who OD'd in their own residence."

## [1] "The proportion of decedents ODing in their own residence was 0.702703."

## [1] "Out of everyone who OD'd in a residence, 0.829787 of people OD'd in their own residence."

2020

## [1] "There were 103 people who OD'd in their own residence."

## [1] "The proportion of decedents ODing in their own residence was 0.705479."

## [1] "Out of everyone who OD'd in a residence, 0.830645 of people OD'd in their own residence."

2021

## [1] "There were 109 people who OD'd in their own residence."

## [1] "The proportion of decedents ODing in their own residence was 0.698718."

## [1] "Out of everyone who OD'd in a residence, 0.931624 of people OD'd in their own residence."

2022

## [1] "There were 118 people who OD'd in their own residence."

## [1] "The proportion of decedents ODing in their own residence was 0.766234."

## [1] "Out of everyone who OD'd in a residence, 0.959350 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> 0, 1, 0, 0, 0
## $ combo..her.pharm.or.fent..OR.pharm.fent                  <int> 0, 1, 0, 0, 0
## $ heronly                                                  <int> 0, 0, 0, 0, 0
## $ pharmonly                                                <int> 0, 0, 0, 1, 1
## $ fentonly                                                 <int> 1, 0, 1, 0, 0
## $ heroin                                                   <int> 0, 1, 0, 0, 0
## $ X6.mam                                                   <int> 0, 1, 0, 0, 0
## $ morphine                                                 <int> 0, 1, 0, 0, 0
## $ hermor_nocod                                             <int> 0, 1, 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, 1
## $ hydrocodone                                              <int> 0, 0, 0, 0, 0
## $ oxycodone                                                <int> 0, 0, 0, 0, 1
## $ methadone                                                <int> 0, 0, 0, 1, 0
## $ buprenorphine                                            <int> 0, 0, 0, 0, 0
## $ fentanyl..4ANPP.too.                                     <int> 1, 1, 1, 0, 0
## $ Frankens                                                 <int> 0, 0, 1, 0, 0
## $ fent.or.frankens                                         <int> 1, 1, 1, 0, 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, 1, 1
## $ pharma_nobupnometh                                       <int> 0, 0, 0, 0, 1
## $ other                                                    <int> 0, 0, 0, 1, 1
## $ benzos                                                   <int> 0, 0, 0, 1, 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, 3, 2, 2, 2

The top 5 substance combinations for 2018 are:

1. fent
2. cocaine, heroin, fent
   
3. fent, fentanyl analogs
4. methadone, other, benzos
5. oxymorphone, oxycodone, 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 [4]
## $ xyla                                  <int> 0, 0, 0, 0, 0
## $ combo                                 <int> 0, 0, 0, 1, 0
## $ heronly                               <int> 0, 0, 0, 0, 0
## $ pharmonly                             <int> 0, 0, 0, 0, 0
## $ fentonly                              <int> 1, 1, 1, 0, 1
## $ Heroin                                <int> 0, 0, 0, 1, 0
## $ X6.mam                                <int> 0, 0, 0, 1, 0
## $ Morphine                              <int> 0, 0, 0, 1, 0
## $ hermor_nocod                          <int> 0, 0, 0, 1, 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.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, 0, 0, 0
## $ benzos                                <int> 0, 0, 0, 0, 0
## $ cocaine                               <int> 1, 0, 0, 1, 0
## $ amphetamine                           <int> 0, 0, 0, 0, 0
## $ EtOH                                  <int> 0, 0, 1, 0, 0
## $ THC                                   <int> 0, 0, 0, 0, 1
## $ n                                     <int> 4, 3, 3, 3, 2

The top 5 substance combinations for 2019 are:

1. fent only, cocaine
2. fent only
   
3. fent only, alcohol
4. heroin, fent, cocaine
5. fent only, weed

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 [5]
## $ 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> 0, 0, 0, 0, 1
## $ benzos                                <dbl> 0, 0, 0, 0, 0
## $ cocaine                               <dbl> 0, 1, 1, 0, 0
## $ amphetamine                           <dbl> 0, 0, 0, 0, 0
## $ EtOH                                  <dbl> 0, 0, 1, 1, 0
## $ THC                                   <dbl> 0, 0, 0, 0, 0
## $ n                                     <int> 6, 5, 5, 4, 4

The top 5 substance combinations for 2020 are:

1. fent only
2. fent only, cocaine
3. fent only, cocaine, alcohol
4. fent only, alcohol
5. fent only, other

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> 0, 1, 0, 1, 0
## $ benzos                                  <int> 0, 0, 0, 0, 0
## $ cocaine                                 <int> 0, 1, 1, 0, 0
## $ amphetamine..including.eutylone.        <int> 0, 0, 0, 0, 0
## $ EtOH                                    <int> 0, 0, 1, 0, 1
## $ THC                                     <int> 0, 0, 0, 0, 0
## $ n                                       <int> 10, 8, 7, 7, 6

The top 5 substance combinations for 2021 are:

1. fent only
2. fent only, other, cocaine
3. fent only, cocaine, alcohol
4. fent only, other
5. fent only, 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> 0, 1, 0, 1, 0
## $ benzos                                  <int> 0, 0, 0, 0, 0
## $ cocaine                                 <int> 1, 1, 0, 0, 1
## $ amphetamine.including.eutylone.MDMA     <int> 0, 0, 0, 0, 0
## $ EtOH                                    <int> 1, 0, 1, 0, 0
## $ THC                                     <int> 0, 0, 0, 0, 0
## $ n                                       <int> 11, 10, 6, 6, 5

The top 5 substance combinations for 2022 are:

1. fent only, cocaine, alcohol
2. fent only, other, cocaine
3. fent only, alcohol
4. fent only, other
5. fent only, cocaine

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 31 people with known chronic use out of 97 decedents in 2018, which is 31.958763 percent of all decedents."

2019

## [1] "There were at least 41 people with known chronic use out of 111 decedents in 2019, which is 36.936937 percent of all decedents."

2020

## [1] "There were at least 73 people with known chronic use out of 146 decedents in 2020, which is 50.000000 percent of all decedents."

2021

## [1] "There were at least 86 people with known chronic use out of 156 decedents in 2021, which is 55.128205 percent of all decedents."

2022

## [1] "There were at least 78 people with known chronic use out of 154 decedents in 2022, which is 50.649351 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 65 people found within 24 hours, which is 0.670103 of all decedents."

## [1] "There were 17 people found in over 24 hours, which is 0.175258 of all decedents."

2019

## [1] "There were 86 people found within 24 hours, which is 0.774775 of all decedents."

## [1] "There were 10 people found in over 24 hours, which is 0.090090 of all decedents."

2020

## [1] "There were 101 people found within 24 hours, which is 0.691781 of all decedents."

## [1] "There were 27 people found in over 24 hours, which is 0.184932 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

Living arrangements for <24h and >=24h

2018

Under 24h

Over 24h

2019

Under 24h

Over 24h

2020

Under 24h

Over 24h

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