Table 4.

Prediction of Patient Subgroups (Patterns of Change) by Patient Baseline Characteristics (Upper Part), and Prediction of Individual Growth in the ASI–Drug Use Composite Score by Type of Treatment Within Patient Subgroups (Lower Part).

	Patient Subgroup

	Common and Fast Responders (n = 180)		Moderate Responders (n = 120)		Severe Users (n = 46)

	Effect	t Statistic	Effect	t Statistic	Effect	t Statistic
Prediction to Patient Subgroup (Pattern of Change)
Resistance to Treatment	—^a	—^a	0.277	0.635	-1.662	-2.595^*
Environmental/Social a Problems	—^a	—^a	0.632	2.354^*	1.184	3.334^*
Addiction Recovery Scale	—^a	—^a	-0.023	-2.581^*	-0.038	-3.464^*
Prediction to Intercept (Initial Status)^b
IDC	-0.005	-0.421	0.012	0.623	0.019	0.775
CT	-0.001	-0.105	-0.003	-0.198	-0.008	-0.513
SE	0.003	0.277	-0.011	-0.657	-0.039	-2.340^*
Prediction to Slope (Change)^b
IDC	-0.003	-1.214	-0.009	-2.262^*	0.001	0.201
CT	-0.001	-0.165	-0.004	-1.225	-0.002	-0.257
SE	-0.002	-0.814	-0.001	-0.222	0.007	1.510

Note: IDC = individual drug counseling, CT = cognitive therapy, SE = supportive-expressive therapy.

The “common and fast responders” subgroup was used as reference class for multinomial logistic regressions.

The type of treatment was dummy-coded for these regression analyses with group drug counseling alone being the reference class.

p < .05.