Table 5

Multilevel model results predicting MOUD use from individual and state-level variables

MOUD use
Model 1Model 2Model 3
(N = 8,787 from 45 states)(N = 7,539 from 39 states)(N = 7,539 from 39 states)
CoefficientSEpCoefficientSEpCoefficientSEp
−0.8310.2970.005
Predictors
State level         
Punitive policy   −0.1860.4500.679−0.3970.2490.111
Priority access policy   −0.1880.4610.684−0.2400.2650.365
Political affiliation**
Republican leaning   −0.0920.8050.9090.2960.4750.534
Competitive   1.3200.6740.0501.1140.4080.006
Democrat leaning   2.2370.7550.0032.1700.4560.000
Solid democrat   2.2610.6310.0001.8610.3990.000
Individual level
Criminal justice referral   −1.4100.0810.000−1.4110.0810.000
Co-occurring mental health   −0.2400.0620.000−0.2310.0620.000
Race
Black   0.0650.1040.5280.2240.3220.487
Asian or Pacific Islander   0.5700.6130.3521.1580.8620.179
Other single race   0.3640.1540.0180.6270.4030.120
Two or more races   0.3220.1650.0510.5590.3690.130
chi squared   357.110  372.010  
ICC0.521  0.296     
Note: **

The “solid republican” category was used as the comparison group

Source: table by authors

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