Abstract
BACKGROUND:
The evidence-based Therapeutic Workplace (TWP) is a promising employment-based treatment where access to work is contingent on objective evidence of abstinence from drugs. TWP is sometimes criticized for requiring individuals who use drugs to voluntarily enroll in a program requiring urine drug testing.
OBJECTIVE:
This experiment was conducted to assess whether urine drug testing as a condition of employment decreases the value of employment opportunities and to what degree.
METHODS:
Participants were unemployed, DSM-IV opioid-dependent, and enrolled in TWP. Participants completed discounting tasks assessing preference for a hypothetical job paying a constant wage that did not require urine drug testing and a job that paid a variable wage but required drug testing. The primary outcome was ‘job value’ operationalized as percentage wage difference to accept a job requiring urine drug testing.
RESULTS:
Percent wage difference to accept a job that required urine testing was analyzed using GEE. Results revealed a significant main effect of recent drug use (χ2(1) = 10.07, p < 0.01).
CONCLUSION:
Most participants were willing to accept a urine drug-testing job across wages similar non-drug testing jobs. Participants reporting recent cocaine or heroin use were less likely to choose urine drug-testing employment.
Introduction
A recent estimate of the cost of opioid use disorder (OUD) and fatal opioid use disorder in the United States is over $1 trillion per year (CDC, 2021). Of these costs, it is estimated that $35 billion is spent on healthcare costs, $14.8 billion on criminal justice costs, and $92 billion in lost productivity (Florence et al., 2021). Fortunately, interventions such as contingency management (CM) effectively treat opioid use disorder and minimize the financial burden of substance use disorders. CM is one of those most robustly effective approaches to treating substance use disorders, including OUD (Dutra et al., 2008). CM interventions for treating OUD vary, but all involve reinforcing treatment successes with financial incentives or other tangible rewards. For example, CM interventions have rewarded adherence to medications such as methadone (e.g., Metrebian et al., 2021), naltrexone (e.g., Caroll et al., 2002; DeFulio et al., 2012), or buprenorphine (e.g., Holtyn et al., 2021) and/or evidence of abstinence from opioids through urine drug tests (e.g., Ling et al., 2013; Jarvis et al., 2019). Among variations of CM for treating OUD is the Therapeutic Workplace (TWP) which addresses the intertwined issues of opiate use and joblessness together by offering paid employment to individuals with OUD contingent on verified treatment success (i.e., medication adherence and/or abstinence).
TWP is a highly effective intervention for treating substance use and promoting long-term abstinence. Through TWP, individuals with substance use disorders are employed to work administrative tasks. Participants’ access to work is contingent on objective evidence of abstinence from drugs and/or verified adherence to treatment medications. This intervention targets the costs to the healthcare system by treating substance use disorders and losses in productivity by employing unemployed drug users. TWP has been used to promote healthy behaviors in a variety of populations, including individuals who use cocaine (e.g., DeFulio et al., 2009; Silverman et al., 2007), opioids (DeFulio et al., 2012), and alcohol (Koffarnus et al., 2011), and among people who are experiencing homelessness (Koffarnus et al., 2011; Silverman et al., 2012). Long-term outcomes of TWP are promising. However, this intervention is sometimes criticized because it requires people who use drugs to voluntarily enroll in a program that requires urine drug testing to access employment.
To address concerns over the endorsement of TWP, the purpose of this experiment was to assess the degree to which urine drug testing decreases the value of employment opportunities among adults with OUD. Behavioral economic choice paradigms allow for the quantitative analysis of the value. For example, discounting procedures are used to evaluate how delay or probability interact with reinforcer magnitude to affect the value of a reward through titrating discrete choice tasks (Odum, 2011; McKercher & Renda, 2012; Rachlin & Jones, 2008). Participants are asked to indicate whether they prefer a small immediate or certain reward over a large delayed, or probabilistic reward. Preference for the smaller reward across a wider range of delays and/or probabilities is correlated with riskier behaviors (e.g., drug use) (Athamneh et al., 2017; Businelle et al., 2010; Kollins, 2003).
In the current experiment, the psychophysical titration approaches to assess relative value of the discounting paradigm were adopted to assess the value of employment opportunities that require urine drug testing. Participants were asked to indicate whether they preferred a non-urine-testing job offered at a wage slightly above the minimum wage they would accept to work any job, or a urine-testing job offered at a range of hourly wages. These procedures were conducted to characterize the value of employment based on pay rate and requirement of urine drug testing in individuals enrolled in the Therapeutic Workplace for treatment of OUD.
Methods
Participants
Ninety-one participants enrolled in the Therapeutic Workplace were enrolled in this study. Participants were individuals enrolled in one of two ongoing studies (for full procedural details, see Holtyn et al., 2014; Jarvis et al., 2019). Table 1 details inclusion and exclusion criteria. Participants were included in the parent studies if they were over 18 years old, met DSM-IV criteria for opioid dependence, reported using heroin 21 of the last 30 days prior to enrollment, had visible signs of injection drug use (e.g., track marks), lived in or near Baltimore, and were unemployed. Specific inclusion criteria for parent studies included reporting injection drug use in the last 30 days, providing an opiate-positive urine sample, and not receiving treatment for substance use disorders in the last 30 days (Holtyn et al., 2014), and medical approval for naltrexone (Jarvis et al., 2019). Participants were excluded if they had current suicidal or homicidal ideation, physical limitations that limited their ability to use a keyboard, or were pregnant or breastfeeding. Additional participants were excluded from parent studies if they had severe psychiatric disorders, chronic medical conditions or current DSM-IV Major Axis-I disorders, insurance coverage (which would prevent them from receiving interim methadone treatment), or were prisoners (Holtyn et al., 2014), or if they were interested in agonist treatment, earned > $200 in taxable income in the past 30 days living in the community, required medical use of opioids, had serum amino transferase levels over 3x normal, or were allergic to naltrexone or components of XR-NTX (Jarvis et al., 2019). Table 2 displays demographic information for all participants. A majority (70.9%) of participants reported having a high school education or less during intake. In addition to meeting DSM-IV criteria for opioid dependence, many participants met criteria for dependence to other drugs.
Inclusion and exclusion criteria
Inclusion and exclusion criteria
Demographics by assessment timepoint in study
Note. Some participants were assessed at multiple timepoints and reported changes to age, education, and employment status throughout the study. Participants who worked for TheraWork were workers in the Therapeutic Workplace. TWP = Therapeutic Workplace.
Participants were enrolled in the Therapeutic Workplace at the Center for Learning and Health at Johns Hopkins Bayview Medical Center in Baltimore, MD. Within the workplace were three workrooms with computers and a urinalysis laboratory. Silverman et al. (2007) provides additional information about the Therapeutic Workplace. This study was approved by the Johns Hopkins Medicine Institutional Review Board (IRB00037123). All participants provided written informed consent.
Procedures
Data analysis
Data were graphed and analyzed using GraphPad Prism version 9.2.0. Indifference points were determined by calculating the average between the highest wage offered for a drug testing job in which a participant still selected non-drug testing and the lowest wage offered for a drug testing job in which the participant selected the drug testing job. Proportional change in wage required for participants to switch preference was calculated. Indifference points and proportional change in wage requirements were calculated for the entire sample and also by separating groups by reported cocaine or heroin use in the past 30 days. Statistical analyses were conducted using IBM SPSS Statistics version 28.0.0.0. Generalized Estimating Equations (GEE) were used to analyze indifference between jobs requiring and not requiring urine testing based on recent drug use and study timepoint.
Results
Participants were assessed at intake, 6 months (end of treatment), and 12 months (6 month follow-up post-treatment). Occasionally, participants were also assessed at other nonsystematic (convenience) timepoints between intake and 6 months, as some participants were already enrolled in the TWP when the study began. Mean indifference points and percent change in indifference point for a job with urine testing were assessed. Results are summarized in Table 3. Participants were considered “indifferent” between urine and non-urine testing jobs if their required wage premium for accepting a job requiring urine testing was less than or equal to 1.25 times the wage for the job not requiring urine testing. About 67% of participants were indifferent or preferred a job with urine-testing. About 36% preferred a urine-testing job to a non-urine testing job, as indicated by willingness to accept a lower wage for a job requiring urine testing. In contrast, about 7% of participants exclusively preferred a job without urine-testing across all assessed wages. All participants who preferred a job without urine-testing across all wages also reported recent cocaine or heroin use.
Indifference points and preference for urine testing jobs
Indifference points and preference for urine testing jobs
Note. IP = indifference point, NA = not applicable.
Percent wage difference to accept a job that required urine testing was analyzed using GEE. Results revealed a significant main effect of recent drug use (χ2(1) = 10.07, p < 0.01), but not timepoint of assessment. Figure 1 displays average indifference points across timepoints with respect to recent drug use. Participants who reported cocaine or heroin use in the past 30 days required higher wages across all timepoints to switch preference to a urine-testing job. Self-reported substance use was compared against monthly urinalysis results. Of the monthly urine samples provided, 81.5% matched self-reported substance use in the past 30 days. However, this number may be conservative, as self-reported drug use was assessed for a wider span of time than was detectable via monthly urinalysis.

Percent difference in acceptable wage for a job that requires urine testing compared to a job that does not require urine testing in participants with and without recent reported drug use across study timepoints. Note that all participants reported recent drug use at intake.
A vast majority of participants in this study reported willingness to accept a job that requires urine testing if it offered a similar (i.e., no more than 1.25 times greater) hourly wage. Indeed, only 7% of participants indicated that they would be unwilling to accept a job that required urine testing at wages up to 5 times greater than a job not requiring urine testing. For most participants, urine testing did not decrease the value of employment substantially. This suggests that therapeutic interventions, such as TWP, requiring urine drug testing are practical and acceptable for the majority of heroin and cocaine dependent individuals tested. Jobs that require urine drug tests may be an effective method of employing individuals in treatment for stimulant or opioid use disorders, which can address issues of lost productivity and costs to the healthcare system. Employing individuals in treatment for stimulant and opioid use disorders in positions that require urine testing can sustain the therapeutic benefits of CM long-term in the naturalistic environment. Longer durations of CM implementation have been shown to produce better long-term outcomes (Petry et al., 2018; Roll et al., 2013).
It is interesting that participants who reported no recent drug use across timepoints also reported a lower acceptable wage for a job with urine testing. It is possible that participants who found jobs with urine testing acceptable viewed this requirement as a motivating factor. The use of urinalysis in interventions such as TWP may be an important feature of treatment for people in recovery from stimulant or opioid use disorders entering the workforce. Participants who reported recent cocaine and/or heroin use required higher wages to accept a urine-testing job. It may be important to investigate other factors that influence acceptability of urine-testing jobs, such as participants’ motivation to quit using drugs, use severity, or other individual characteristics.
Limitations
The current study was limited in that participants were assessed inconsistently across timepoints. In ideal cases, participants were assessed at intake, 6 months, and 12 months. However, several participants were assessed at other timepoints during treatment as the valuation study was initiated after the parent studies had already started enrollment. This limited the extent to which timepoint-based analyses of indifference points could be assessed. Future research should include more consistent implementation of this assessment for better characterization of indifference point based on timepoint and recent substance use.
A second limitation of this study is that it was conducted in participants voluntarily enrolled in the TWP, thereby restricting data to those who were willing to engage in urine testing in the context of their participation in research. A general sample of adults with OUD would likely show different valuations for jobs requiring urine drug testing, which should be evaluated in future research.
Future directions
While participants indicated the amount that they would accept for a drug-testing job in the current study, verification of these results is important. A potential method of verifying these results would be to vary the wage in the TWP and assess how participants’ productivity changes in relation to the reported wage indifference point. Given that TWP includes a urinalysis component, it would also be interesting to assess whether this indifference point assessment is predictive of success in the TWP. Using this assessment as a prediction tool may help researchers to individualize treatment for individuals at higher risk of non-responsiveness.
Finally, this assessment may be useful in contexts outside of TWP as a predictive tool for assessing participant barriers to success in CM interventions. Identifying the optimal incentive to prescribe in CM based on individual characteristics will be important as CM becomes widely available. This assessment and/or modifications of it may aid in identifying the minimum effective incentive size based on the constraints of the intervention (e.g., urine/saliva testing requirements, abstinence interval, remote vs. in-person assessments).
Conclusion
A majority of participants with OUD were willing to accept a job that required urine drug-testing across wages similar to jobs that did not require urine drug-testing. Participants who reported recent cocaine or heroin use were less likely to endorse employment requiring urine drug-testing. While recent drug use was related to indifference points, timepoint in the study was not. Further research is needed to investigate the factors that influence acceptability of urine-testing jobs.
Footnotes
Acknowledgments
The authors declare no acknowledgments.
Funding
This work was supported by National Institutes of Health (NIH) grants R01DA023864 and R01DA019497 to Kenneth Silverman. A portion of Mikhail Koffarnus’ time was supported by the fellowship T32DA007209. Haily Traxler’s time was supported by a fellowship to Haily Traxler under the Clinical and Translational Science of the National Institutes of Health award number TL1TR001997. 100% of this research was supported by federal or state money with no financial or nonfinancial support from nongovernmental sources. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funding source did not have a role in writing this manuscript or in the decision to submit it for publication. All authors had full access to the data in this study and the corresponding author had final responsibility for the decision to submit these data for publication.
Conflicts of interest
None of the authors have any conflicts of interest to disclose.
Ethics statement
This study was approved by the Johns Hopkins Medicine Institutional Review Board (IRB00037123).
Informed consent
All participants provided written informed consent.
