Feb 27, 2026drug testingworkplace harassmentdiscriminationselective enforcement

Random Drug Tests That Target the Same Employees: What to Do?

Selective Drug Testing and Workplace Harassment

Random drug testing is a common workplace practice. But when random drug testing repeatedly targets the same employees, it can function as selective enforcement that raises concerns under discrimination and retaliation laws.

At Brandon J. Broderick, we have seen how “neutral” testing policies can operate unevenly. A process labeled as random still produces consistent outcomes, especially when oversight is limited or criteria are loosely defined. Over time, targeted testing can create stigma, isolate certain employees, and function as a form of harassment, even when no formal policy violation is cited.

In this article, we will discuss how the patterns develop, how state and federal law evaluate selective enforcement, what indicators may suggest a legal issue, and when it’s time to consult a workplace harassment lawyer in New Jersey

Drug testing in the workplace doesn’t operate under a single rule. Several laws intersect, and each one addresses a different part of the problem. 

Federal law sets the baseline. Title VII of the Civil Rights Act prohibits discrimination based on race, sex, religion, and national origin. If certain groups are tested more frequently, that pattern will support a discrimination claim.

The Americans with Disabilities Act (ADA) addresses how employers handle medical information and disability-related issues. It protects employees in recovery from substance use disorders. Current illegal drug use is treated differently, but recovery status is protected. Repeated testing tied to past addiction can cross into disability bias.

The Family and Medical Leave Act (FMLA) protects employees who take protected leave. Employers cannot retaliate against workers for using that leave. If drug testing increases after an employee returns, timing becomes relevant.

New Jersey law expands these protections and applies them more broadly. The New Jersey Law Against Discrimination (NJLAD) covers discrimination across a wide range of protected characteristics. It applies to the terms and conditions of employment, including how policies are enforced day to day. 

The Conscientious Employee Protection Act (CEPA) protects employees who report illegal conduct, unsafe conditions, or fraud. Targeted drug testing after a complaint can raise retaliation concerns.

Federal law focuses on discrimination, disability, and retaliation. State law strengthens those protections by looking closely at how employers actually treat workers in practice. Speaking with a workplace harassment attorney in New Jersey can help assess whether selective enforcement crosses the line.

“The decision to speak up is powerful. But knowing what happens after — and how to protect yourself — is just as critical.”

— Olivia Rhye

When “Random” Drug Testing Turns Into Targeted Harassment in New Jersey

A manager doesn’t need to change the rules to change the outcome. They only need to influence how the rules are used.

This type of control tends to develop gradually. The message is clear even if it is never stated directly. Employers don’t need to make direct threats. Repeated testing can send that signal on its own.

Certain employees are being watched more closely than others. An employee questions a scheduling decision or raises concerns about safety. Testing follows soon after.

This pressure affects behavior:

  • Employees hesitate to speak up
  • Workers avoid challenging decisions
  • Concerns about fairness go unreported
  • People begin to disengage or look for other jobs

Control doesn’t always come through direct orders. It can come through repetition: when the same individuals are repeatedly tested, the process itself becomes a signal. At that point, testing becomes a way to manage employees without formal action.

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Repeated Selection and the Risk of Discriminatory Drug Testing in New Jersey

An employee might be selected twice in a short period. That can happen. But when the same person is selected three, four, or five times while others are rarely tested, the explanation becomes harder to accept. Patterns matter. 

Employers use different systems for random testing:

  • Computer-generated selection based on employee ID numbers
  • Third-party administrators who run testing pools
  • Internal processes that allow supervisors to influence selection

Each system has a different level of transparency. Automated systems tend to show clear patterns. Supervisor-driven processes leave more room for personal judgment. That same level of control can also appear in other forms, such as constant monitoring or micromanagement of certain employees.

Some warning signs are easier to spot:

  • Repeated testing of the same employee within short time frames
  • Small groups are selected again and again, while others are left out
  • Testing that clusters around certain teams or demographics
  • Selection that aligns with workplace events such as complaints or disputes

In larger workplaces, seeing the same people selected again and again becomes harder to explain as random. This doesn’t prove wrongdoing on its own, but it raises questions.

Courts and agencies look at patterns across time. A single event rarely tells the full story, but repetition does.

The Humiliation Factor in Discriminatory Drug Testing in New Jersey

In many workplaces, testing involves being removed from the work environment in front of others. Coworkers see it happen. They notice who is being pulled aside. 

This creates a reputational impact. Common experiences include:

  • Being escorted off the floor during a shift
  • Waiting in a designated area while others continue working
  • Returning to the workspace after the test while coworkers watch
  • Facing questions, speculation, or silence from peers

Even when results are negative, the experience leaves a mark. The same employee becomes associated with the process. Others begin to assume there is a reason, even when there is none. That can show up in other ways, including humiliating emails where managers use CC or reply-all to single out employees.

For the employee, the impact goes beyond embarrassment:

  • Professional credibility can be affected
  • Relationships with coworkers may change
  • Trust between employee and management erodes
  • Daily work becomes more stressful

Surveys show that about 43% of employees regularly feel tense or stressed during the workday, and roughly 15% describe their workplace as toxic. Being singled out for testing in public can add to that strain.

A workplace doesn’t need direct insults or comments to create a hostile environment. Repeated public treatment that singles out one employee can have the same effect.

ADA Protections Against Selective Drug Testing in New Jersey

The ADA draws a clear line between current illegal drug use and recovery. Employees who are actively using illegal drugs aren’t protected in that context. The protection comes into play when employers rely on past history instead of present behavior.

Selective testing can cross the line when it targets individuals because of that history. Examples include:

  • Increased testing after an employee discloses past substance use
  • Supervisors referencing prior addiction when making decisions
  • Testing frequency that exceeds what is applied to others in similar roles
  • Ongoing scrutiny despite consistent negative test results

We have seen this overlap in the cases we build at Brandon J. Broderick. Employees in recovery are sometimes subjected to excessive teasing, targeted pranks, or nicknames that get dismissed as humor but still reinforce the same stigma.

Recovery is recognized as part of a disability under federal law. Testing itself is not the issue: the pattern behind it is. When it becomes a way to single out employees based on recovery status, it starts to look like discrimination.

How Workplace Structure Affects Targeted Drug Testing and Harassment in NJ

Unionized environments usually include detailed procedures in collective bargaining agreements. These agreements often define:

  • How random testing is conducted
  • Who manages the selection process
  • What triggers additional testing
  • How disputes are handled

These rules create a framework that limits discretion. Problems arise when employers step outside that framework:

  • Changing selection methods without union input
  • Allowing supervisors to influence testing outside agreed procedures
  • Failing to follow grievance processes
  • Applying rules differently across departments

That same uneven treatment can also show up in other ways, including public criticism in team meetings that singles out certain employees.

Union employees have formal grievance procedures to challenge these problems. Non-union employees don’t have the same system and often rely on internal HR or legal claims instead. That difference can affect how quickly concerns are addressed.

Selective enforcement can occur in both environments. The key difference is how quickly it can be challenged.

The Role of Supervisors in Targeted Drug Testing and Harassment in New Jersey

Many drug testing programs include language that allows for supervisor input. Terms like “reasonable suspicion” or “observed behavior” introduce judgment into the process.

That is where evidence of bias appears. Examples include:

  • Interpreting fatigue as impairment in one employee but not another
  • Viewing communication style as suspicious
  • Relying on personal impressions instead of objective criteria
  • Recommending testing based on informal concerns

Repeated decisions shaped by the same assumptions lead to consistent outcomes. This type of bias can overlap with protected characteristics such as race, age, or disability. When it does, the legal implications become more serious.

Supervisory discretion isn’t inherently unlawful. It becomes a problem when it produces unequal treatment.

When Targeted Drug Testing Crosses Privacy Boundaries in New Jersey

Drug testing captures information about an employee’s private life. New Jersey has addressed some of these concerns, particularly with respect to cannabis use. The law recognizes that legal, off-duty conduct should not automatically result in workplace consequences.

This creates tension between employer policies and employee rights. Warning signs begin to appear when:

  • Testing detects legal substances used outside of work
  • Employees are repeatedly tested without performance concerns
  • Policies treat presence in the system as impairment
  • Testing continues despite consistent negative results

Employees don’t lose all privacy rights at work. When testing becomes frequent, targeted, or disconnected from job performance, it becomes an intrusion. Those questions are stronger when the same employees are repeatedly tested.

Discriminatory Drug Testing Leading to Termination in New Jersey

Drug testing can become part of a larger employment decision. It turns into a pretext when it is used to support an outcome that was already in motion.

Common patterns include:

  • Testing shortly before termination
  • Increased testing after performance disputes
  • Testing tied to restructuring or layoffs
  • Using test results to justify discipline that was already planned

Timing plays a central role. When testing occurs close to other employment actions, it raises questions about intent. In our experience handling workplace disputes, this sequence shows up more often than people expect. Testing is introduced at key moments to support a decision rather than drive it.

Courts examine how events unfold. They look at timing and consistency. When testing aligns with adverse actions, it becomes part of a larger analysis.

Random drug testing has a legitimate role in many workplaces. Safety requirements, regulatory obligations, and company policies all support its use.

But when the same employees are tested repeatedly, when timing aligns with complaints or conflicts, and when outcomes differ across individuals, the issue changes. It moves from policy to treatment.

If you believe you are being singled out through repeated “random” testing, it is worth taking a closer look at your situation.

Svetlana Skvortsova
Reviewed by Denis Sautin
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