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Methods and overall conclusions
Drug use
Income sources and employment
Crime, health, and living arrangements
Conclusion
Methods and overall conclusions
This chapter analyzes the effects of substance abuse treatment on post-treatment outcomes,
including drug use, income sources, employment, criminal activity, health, and living
arrangements. The principal focus throughout this chapter is on female treatment clients with children,
especially those who received welfare income. As in the original CALDATA report, the estimates of
treatment effects in this chapter use the "before-after" or "pre/post" research design, comparing the same
behaviors/characteristics of the same treatment clients before and after treatment. As in the
CALDATA report, we depend on the retrospective reports of sample clients at the time of the
post-discharge interview to measure the presence or absence and the levels of
behaviors/characteristics during the before-treatment and after-treatment reference periods. While this chapter's findings
are consistent with the hypothesis of beneficial treatment effects, there are other possible
explanations for these patterns of results including nonresponse biases (perhaps fewer of those who did poorly
after treatment participated in the research), under reporting of negative outcomes in the
post-treatment period by those who did participate, and simple regression to more typical patterns
of behavior after treatment than the behavior that happened to occur immediately before. The
CALDATA report includes a detailed discussion of the assumptions underlying CALDATA
methods and of the approaches to estimation and measurement that are applied in this chapter, including
the reasons why these alternative explanations are less persuasive than the hypothesis of beneficial
treatment effects.
The main conclusions of this chapter are as follows:
- Among women with children who received welfare income, the number of drug users (those
who used a specified drug more than five times per annum) fell after treatment by about 39
percent in the case of crack cocaine, 42 percent in the case of cocaine powder, 14 percent in
the case of heroin, 48 percent in the case of amphetamines, and 26 percent in the case of
alcohol. (For example, 32.1 percent of this subgroup used crack cocaine before treatment,
while only 19.6 percent used crack cocaine after treatment, for a percentage decline of about
-38.9 percent, i.e.,
(19.6-32.1) / 32.1= -38.9%.
- Among women with children who received welfare income, the percentage who sold or
helped to sell drugs fell by about 60 percent after treatment, and the percentage who were
arrested, booked, or taken into custody dropped by about 54 percent after treatment.
- Among women with children who received welfare income, the percentage hospitalized
during the course of one year fell by about 58 percent after treatment.
- Among women with children who received welfare income, the percentage who were
homeless for two or more days during the year declined by about 61 percent after treatment.
- The proportion of the whole treatment population on welfare stayed about the same before
and after treatment among men and women, with attrition from the welfare-receiving group
balancing accession to that group. Of the minority of women who received welfare prior to
treatment, 30 percent no longer received welfare during the year after treatment; however, of
the majority who did not receive welfare prior to treatment, 16 percent were receiving
welfare after treatment.
- The proportion working for wage or salary income declined by about 20 percent after
treatment. We believe these results were strongly influenced by the overall doubling of the
unemployment rate in California across the period covered by the study.
- In general, women with children, including those receiving welfare income, appeared as
likely to benefit from drug abuse treatment as any other treatment clients. With very limited
exceptions, the positive outcomes of treatment were similar among women with children who
received welfare, women with children who did not receive welfare, women without children,
and men.
The following three sections present a detailed analysis of the effects of treatment on the
behavior and well-being of men, women, and key subgroups of women, including those living
with children who received welfare income and who did not receive welfare income. These sections
present representative data (and describe other data that we have analyzed) on several classes of
outcome variables: drug use, employment, welfare receipt, crime, health, and homelessness.
Drug use
This analysis focuses on the five "main drugs," i.e., the five drugs that were most commonly
mentioned by treatment clients as reasons for entering treatment: 1) crack cocaine (a crystalline
or "free-base" form of cocaine best suited for smoking), 2) cocaine powder (the hydrochloride salt
of cocaine, which is water-soluble and can be injected or snorted), 3) heroin, 4) amphetamines, and
5) alcohol. Both among treated women with children and among other clients, close to 50 percent
of clients identified heroin as a reason for their entering treatment, while close to 25 percent
identified alcohol, and crack, cocaine powder, and amphetamines (see Chapter 3) each were identified by
more than 10 percent of clients.
For each of the five drugs, treatment significantly reduced drug use from before to after
treatment (Figures 4.1- 4.5). The measure of drug use in each of the figures below was the
percentage of treatment clients who used the drug five or more times in the previous year, which
we call "prevalence." For crack (Figure 4.1), prevalence in the total treatment population declined
from 28 percent before treatment to 16 percent after treatment, a percentage change of -42 percent, i.e.,
(16 - 28)/28. For cocaine powder, heroin, amphetamines, and alcohol, the percentage changes of
prevalence in the total treatment population were -46 percent, -23 percent, -47 percent, and -29
percent (Figures 4.2 4.5), respectively.
Significant declines in drug use following treatment occurred regardless of whether the
treatment client was a woman, had children, received welfare income, or had lost custody of a
child or identified parenting issues as an important reason for entering treatment.(Endnote 6)
In the subgroup of women with children who received welfare income, the percentage changes in prevalence for
crack, cocaine, heroin, amphetamines, and alcohol were -39 percent, -42 percent, -14 percent, -48
percent, and -26 percent, respectively. These percentage changes are closely similar to, and not
significantly different from, the corresponding percentage changes for each drug in the total treatment
population. Drug use declined significantly across the board. For each of the five drugs, the prevalence
among women with children who received welfare income declined by about the same percentage as the
corresponding percentage among treatment clients as a whole.
Figures 4.1-4.5 suggest that, in general, the magnitudes of the effects of treatment on drug use
were similar whether or not the treatment client was a woman, had children in the household, or
received welfare income. (In additional data analyses, we determined that outcomes also did not
vary depending on whether the client had lost custody of a child or named parenting concerns as
important reasons for their entering treatment.) There is little indication in any of these data that
women with children who received welfare income differed in their response to treatment from
women with children who did not receive welfare income or from other treatment clients. For
each of the five drugs, the prevalence among women with children who received welfare income
declined by about the same percentage as the corresponding percentage among treatment clients as a
whole.
We tested a variety of alternative measure of drug use before and after treatment, such as the
mean number of different drugs used during the previous year, the number of months specific
drugs were used, the intensity of use during the period of highest use, and the number of drugs used
across the period. These measures all led to very similar conclusions about the effects of treatment on
drug use. For example, in the overall treatment population, the total number of drugs used by each
client declined from 2.8 before treatment to 1.6 after treatment. In the subgroup of women with
children who received welfare income, the decline was almost exactly the same.





Income sources and employment
CALDATA clients reported receiving income from a variety of sources, including full-time and part-time
employment, welfare, illegal activities, and disability income. Figures 4.6 and 4.7 present estimates for two
of six before-after comparisons we completed regarding income and employment (all figures were adjusted
to represent an annual basis). The six measures we analyzed were:
- percentage who received employment income (Figure 4.6);
- percentage who received welfare income (Figure 4.7);
- number of months worked full-time;
- percentage who worked full-time;
- number of months worked part-time;
- percentage who worked part-time.
In the total treatment population, the percentage receiving employment income declined from about 55 percent
before treatment to about 45 percent after treatment, a relative decline of about 17 percent in job-holding. Men were
much more likely to have worked before treatment than women (63% of men versus 41% of women), but for both groups,
employment declined by a similar proportion. In every subgroup of clients, the percentage receiving employment
income (that is, having had a job during the year) appears lower after treatment than before, and it was significantly lower
for all women, all men, and for women (as well as men) with children who had not collected welfare. Women who did collect
welfare reported the lowest rate of employment before treatment (25%) and a nonsignificant change to 23 percent after
treatment. The percentages working full-time, the average number of months they worked full-time, and the part-time statistics
are all consistent with the results in Figure 4.6.

Source: NORC CALDATA
Despite the overall reduction in employment during the time period analyzed in this report, there was no significant change
in the percentage receiving welfare income in the CALDATA population as a whole or among men and women considered
separately: women were twice as likely as men to have collected welfare in the period after treatment as well as before treatment
(Figure 4.7). There were significant reductions in welfare receipt in the subgroups where all members were initially welfare recipients
for example, among women with children who received welfare income before treatment, only 78 percent did so after treatment
but these decreases were balanced by the onset of welfare receipt treatment among the subgroups selected to exclude welfare before
treatment.
Both the welfare and employment results are consistent with the generally austere economic trend in California over the period
1991-1993 (see below, Table 5.2), which makes interpretation of treatment effects difficult in the area of employment and income. The problem
was that the downward secular trends in the California economy during the period of the CALDATA follow- up—a doubling of the unemployment
rate (see Chapter 5) and immense fiscal pressure on the state government probably obscured any independent positive effects that treatment
might have had on treatment clients' prospects for employment and income.

Source: NORC CALDATA
Crime, health, and living arrangements
Substance abuse treatment can affect the prevalence and incidence of criminal activity in at least two ways. Treatment can directly affect
criminal activity by providing new reference groups and new moral and ethical standards to substitute for reference groups and standards that
helped to engender criminal activities in the past. Treatment can also affect criminal activity indirectly by reducing the economic motivations for
crime. For example, to the extent that treatment reduces drug and alcohol use, it may also reduce crimes committed to obtain money to buy
drugs or alcohol.

Source: NORC CALDATA
Figures 4.8 and 4.9 report on two major measures of criminal activity: the percentage who sold or helped to sell drugs
(the most prevalent form of illegal activity, outside of drug possession per se, in this population) and the percentage who were
arrested, booked, or taken into custody. In each analysis, the "before" measurement pertains to the 12 months preceding the
sample treatment episode, and the "after" measurement to the interval between discharge from the sample episode and the
CALDATA interview. To enhance comparability, after-treatment measurements were adjusted to a per-annum basis. As with
previous domains, we analyzed numerous other measures of criminal activity, such as crimes against property and persons,
and other criminal justice sanctions, such as conviction, parole, and incarceration. The two items displayed here are among the
most conservative indicators of change.

Source: NORC CALDATA
Each measure shows substantial before-after declines overall and among every subgroup. The overall decline was a 68
percent reduction in drug selling and a 60 percent reduction in arrests. Men as a whole and in each corresponding subgroup
generated more criminal activity and sanctions than women, both before and after treatment. For neither measure does the
change differ significantly among subgroups of women or men. The fact that potential reductions in criminal activity are lower for
female clients than for male clients has an important bearing on Chapter 5's finding that the overall benefit-cost ratio of substance
abuse treatment was lower for female clients with children who received welfare income than for the total treatment population.
Figure 4.10 presents before-after comparisons for the most costly single indicator of clients' health and health care utilization, the
percentage hospitalized for any reason, including physical conditions, mental conditions, or drug-related conditions (including overdose).
The percentage hospitalized changed significantly from before-treatment to after-treatment, declining by about
58 percent, from 31 percent to 13 percent. These declines were evenly balanced across physical, mental, and drug-related causes
of hospital stays. All of the subgroup changes were significant but none were significantly different in size from each other.

Source: NORC CALDATA
Finally, Figure 4.11 presents before-after comparisons of the percentage who were home-less for two or more days
(per-annum basis). On the whole, men were more likely to have been homeless than women in each period. Every subgroup
experienced less homelessness after treatment, with one exception: women with children who did not receive welfare income.
This group had the lowest level of homelessness before treatment and the least proportionate reduction across the CALDATA period.
In the subgroup of women with children who received welfare income, the percentage who were homeless for two or more days declined
from 22 percent before treatment to 9 percent after treatment.

Source: NORC CALDATA
Conclusion
On the dimensions of drug use, crime, health care, and homelessness, women in CALDATA as a group were appreciably better
off after treatment than before, improving to the same extent as men; and this result held for women with children and women receiving
welfare as well as for other treatment subgroups. On the economic dimensions of employment and separation from welfare dependence,
the CALDATA groups did not improve, but stayed even in terms of welfare and lost ground on employment—California's severe economic
downturn during the study period appears to have swamped whatever positive economic effect the period of treatment might have generated.
From the standpoint of public policy, we believe these results encourage the support of treatment options for welfare clients.
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