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Table 5 Detailed description of covariates in included studies

From: The impact of methamphetamine/amphetamine use on receipt and outcomes of medications for opioid use disorder: a systematic review

Author/pub year

Covariates included in analysis

Abrahamsson 2016

None

Banta-Green 2009

Age, gender, race/ethnicity, medical concerns, public assistance, home conducive to recovery, children under 12 at home, legal system involvement, prescription opiate use only vs. heroin use, cocaine use, treatment agency

Daniulaityte 2020

Age, gender, race, homelessness, psychiatric comorbidity, ever prescribed pharmaceutical stimulants, ever used diverted pharmaceutical stimulants, prefer fentanyl vs. heroin, injection as primary method of heroin/fentanyl administration, days of use in past 6 months of heroin/fentanyl, non-prescribed pain pills, non-prescribed buprenorphine, marijuana, cocaine, and non-prescribed benzodiazepine, lifetime receipt of other 2 types of MOUD

Deck 2004

Age, gender, race/ethnicity, Medicaid program, years of opiate use, needle use, frequency of opiate use, cocaine use, alcohol use, mental health needs (Washington only), arrested, prior methadone, prior SUD treatment, distance from clinic, referral source (self/treatment agency/legal), not employable, no source of income, marital status, housing (live in own home/live in group home/homeless/other), pregnant, months Medicaid eligible; enrolled in ADATSA (alcohol and drug abuse prevention and treatment; Washington only)

Deck 2005

Age, gender, race/ethnicity, Medicaid program, years of opiate use, needle use, frequency of opiate use, cocaine use, alcohol use, mental health needs (Washington only), arrested, prior methadone, prior SUD treatment, distance from clinic, referral source (self/treatment agency/legal), not employable, no source of income, marital status, housing (personal home/homeless/other), pregnant, state Medicaid eligibility, enrolled in ADATSA (alcohol and drug abuse prevention and treatment; Washington only), admission cohort, treatment agency

Fairbairn 2012

Age, gender, Midazolam injection, heroin injection, alcohol consumption

Gjersing 2013

None

Hall 2016

None

Hoang 2018

Time of assessment, family support, number of years used heroin prior to initiation, HIV status, antiretroviral therapy receipt

Hser 2014

Age, gender, race/ethnicity, short form 36-item health survey scores (physical component summary and mental component summary), alcohol use, number of cigarettes smoked/day, opioid-positive UDS, cannabis-positive UDS, cocaine-positive UDS, days of heroin/opiate use in past 30 days, site (west vs. east coast), dose on last day of treatment, methadone vs. buprenorphine (in total sample), interaction of buprenorphine/methadone with dose (in total sample)

Hui 2017

None

Jones 2020

Age, gender, race/ethnicity, US census region, employment status, living arrangement, treatment referral source, heroin injection, age of first heroin use

Kumar 2016

Age, gender, marital status, route of opioid use, pain, current substance use other than benzodiazepines and opioids, benzodiazepine use, cocaine use, opioid use, cannabis use, physical or emotional neglect (2 models)

Kunøe 2010

Age, gender

Liu 2017

Marital status, number of times in “compulsory drug detoxification”

Liu 2018

None

Lo 2018

Age, homelessness, incarceration, no income assistance, binge alcohol use, daily opioid use, daily heroin injection, daily cocaine injection, binge on drug injection, HIV, proportion of visits on methadone, methadone dose

Logan 2019

None

Manhapra 2017

None

Manhapra 2018

None

Manhapra 2020

None

Michel 2017

Frequency of injection (<  75 vs.  >  75 injections/month)

Morgan 2018

MOUD receipt (logistic regression model):  Age, gender, geographic region, health plan type, alcohol use disorder, cannabis use disorder, cocaine use disorder, hallucinogen use disorder, sedative use disorder

MOUD retention (Cox proportional hazards model): Age, gender, region of residence, alcohol use disorder, cannabis use disorder, cocaine use disorder, hallucinogen use disorder, sedative use disorder, ever seen in detox facility, type of provider at initiation, place of initiation, commercial insurance type, type of MOUD, effect of medication type in first 30 days of treatment

Peles 2008

Tel Aviv sample : None

Las Vegas sample:  Age, have children, duration opioid use before admission, Hepatitis C

Peles 2015

None

Pettes 2010

None

Potter 2013

None

Proctor 2015

12-month model: Age, gender, method of payment, average daily methadone dose

6-month model :  Race/ethnicity, marital status, employment status, average daily methadone dose

Proctor 2016

3-month model: Age, gender, employment status, race/ethnicity, marital status, and average daily methadone dose

6-month model: Race/ethnicity, marital status, and average daily methadone dose

9-month model:  Age, gender, employment status, race/ethnicity, marital status, and average daily methadone dose

12-month model:   Age, race/ethnicity, employment status, and average daily methadone dose

Rhee 2019

None

Schiff 2007

Age, gender, age × gender interaction, heroin use, cocaine use, benzodiazepine use, cannabis use

Schuman-Olivier 2014

None

Senbanjo 2009

None

Shiner 2017

Age, gender, race/ethnicity, marital status, rural vs. urban, VA disability level, homelessness, OEF/OIF/OND veteran, combat exposure, sexual trauma while in military, Charlson comorbidity index, plurality of care at VA medical center, plurality of care at a CBOC,  ≥  1 visit with a primary care prescriber,  ≥  1 visit with a mental health prescriber,  ≥  1 visit with a SUD prescriber, residential SUD treatment, inpatient admission for detoxification, effective antidepressant for PTSD, pain disorder, headache disorder, psychotic disorders, bipolar mood disorders, depressive mood disorders, non-PTSD anxiety disorders, TBI and cognitive disorders, personality disorders, nicotine use disorder, alcohol use disorder, marijuana use disorder, cocaine use disorder, amphetamine use disorder, tranquilizer and sedative use disorder, hallucinogen use disorder, fiscal year

Skeie 2013

None

Smyth 2018

None

Thirion 2001

None

Tsui 2020

Age, gender, race/ethnicity, education level, clinic site, time period of enrollment

White 2014

None