Prescription drug use and abuse

Prescription drug misuse and gender

In recent years, prescription drug misuse has become a serious public health issue. A number of studies in this area have identified females to be at an increased risk for prescription drug misuse during adolescence. Guided by Agnew's general strain theory, the current research examined the relationship between prescription drug misuse and gender during adolescence. We used data from the 2010 National Survey on Drug Use and Health, a sample representative of the non-institutionalized population of the United States. Logistic regression models were estimated to examine the relationship between gender, prescription drug misuse, strain, and depression. The findings indicated that females were at an increased for prescription drug misuse. We also found support for general strain theory, as strain and depression were significantly related to prescription drug misuse. In addition, we found evidence that strain was gendered in that elements of general strain theory accounted for the relationship between prescription drug misuse and gender.

Clinician impression versus prescription drug monitoring program criteria in the assessment of drug-seeking behavior in the emergency department

STUDY OBJECTIVE

We compare emergency provider impression of drug-seeking behavior with objective criteria from a state prescription drug monitoring program, assess change in opioid pain reliever prescribing after prescription drug monitoring program review, and examine clinical factors associated with suspected drug-seeking behavior.

METHODS

This was a prospective observational study of emergency providers assessing a convenience sample of patients aged 18 to 64 years who presented to either of 2 academic medical centers with chief complaint of back pain, dental pain, or headache. Drug-seeking behavior was objectively defined as present when a patient had greater than or equal to 4 opioid prescriptions by greater than or equal to 4 providers in the 12 months before emergency department evaluation. Emergency providers completed data forms recording their impression of the likelihood of drug-seeking behavior, patient characteristics, and plan for prescribing pre- and post-prescription drug monitoring program review. Descriptive statistics were generated. We calculated agreement between emergency provider impression of drug-seeking behavior and prescription drug monitoring program definition, and sensitivity, specificity, and positive predictive value of emergency provider impression, using prescription drug monitoring program criteria as the criterion standard. A multivariate logistic regression analysis was conducted to determine clinical factors associated with drug-seeking behavior.

RESULTS

Thirty-eight emergency providers with prescription drug monitoring program access participated. There were 544 patient visits entered into the study from June 2011 to January 2013. There was fair agreement between emergency provider impression of drug-seeking behavior and prescription drug monitoring program (κ=0.30). Emergency providers had sensitivity 63.2% (95% confidence interval [CI] 54.8% to 71.7%), specificity 72.7% (95% CI 68.4% to 77.0%), and positive predictive value 41.2% (95% CI 34.4% to 48.2%) for identifying drug-seeking behavior. After exposure to prescription drug monitoring program data, emergency providers changed plans to prescribe opioids at discharge in 9.5% of cases (95% CI 7.3% to 12.2%), with 6.5% of patients (n=35) receiving opioids not previously planned and 3.0% (n=16) no longer receiving opioids. Predictors for drug-seeking behavior by prescription drug monitoring program criteria were patient requests opioid medications by name (odds ratio [OR] 1.91; 95% CI 1.13 to 3.23), multiple visits for same complaint (OR 2.5; 95% CI 1.49 to 4.18), suspicious history (OR 1.88; 95% CI 1.1 to 3.19), symptoms out of proportion to examination (OR 1.83; 95% CI 1.1 to 3.03), and hospital site (OR 3.1; 95% CI 1.76 to 5.44).

CONCLUSION

Emergency providers had fair agreement with objective criteria from the prescription drug monitoring program in suspecting drug-seeking behavior. Program review changed management plans in a small number of cases. Multiple clinical factors were predictive of drug-seeking behavior.

Identifying primary care skills and competencies in opioid risk management

INTRODUCTION

Primary care physicians (PCPs) treat a high proportion of chronic pain patients but often lack training about how to assess and address issues associated with prescribing opioids when they are an appropriate component of therapy. The result may be that they may avoid treating these patients, which can lead to an undertreatment of pain. The objective of this study was to identify which skills and competencies are most critical for PCPs in order to effectively manage opioid risk in patients treated for chronic pain.

METHODS

We conducted 1-hour interviews with 16 nationally known experts in primary care, pain management, and addiction. Eight were trained as PCPs, and 8 were trained as specialists. Their responses were collated and then presented online to the participants for independent sorting and rating. These data were analyzed using an online concept mapping program, which offers an innovative method of summarizing and prioritizing qualitative data.

RESULTS

Based on this analysis, items were organized into 10 clusters representing the most critical categories of skills (the "best fit" for these data). The cluster that received the highest average statement rating was "How to Manage Pain Patients With Comorbid Conditions." Follow-up analyses indicated that specialists rated this cluster, and 5 others, significantly higher than the PCPs, suggesting that the specialists perceive these competencies as more important in opioid risk management.

DISCUSSION

Using a relatively small sample and cost-effective technique (ie, concept mapping), key PCP competencies can be identified for potential inclusion in continuing education and training in opioid risk management.

The association between chronic pain and prescription drug abuse in Veterans

OBJECTIVE

We sought to investigate the association between chronic pain and self-reported prescription drug abuse in a large cohort of patients referred from primary care for a behavioral health assessment.

DESIGN

We performed a cross-sectional analysis of responses to a telephone assessment administered to patients referred for a behavioral health evaluation between April 25, 2005 and October 31, 2007. We conducted descriptive statistics and investigated multivariable associations. Multivariable analyses included age, gender, race, financial status, employment, current smoking, drinking problem, past-year illicit drug use, depression, and chronic pain.

PATIENTS

Veterans referred from primary care (N = 6,377).

RESULTS

Mean age of the sample was 56.5 years with a range of 19-97. The majority of respondents was white, unmarried, and was unemployed. Nearly 5% of the sample reported past 6-month prescription drug abuse. On multivariable analysis, younger age, possible depression (odds ratio [OR] 1.9; 1.3-2.8), probable depression (OR 2.4; 1.6-3.4), smoking (OR 1.4; 1.1-1.8), illicit drug use (OR 2.8; 2.2-3.7), and chronic pain (OR 1.9; 1.4-2.5) were associated with prescription drug abuse.

CONCLUSIONS

We have identified specific variables associated with self-reported prescription drug abuse in primary care patients. Chronic pain is associated both with an indication for prescribing opioids and with abuse of prescription medications. Clinicians are encouraged to follow treatment algorithms when managing patients with chronic pain as a method for reducing misuse.

Gender and non-medical use of prescription opioids: results from a national US survey

AIMS

Gender differences exist regarding alcohol and illicit drug use disorders in the United States. Little is known about the gender-related factors associated with non-medical use of prescription opioids.

DESIGN

Using data from the 2003 National Survey on Drug Use and Health, we examined risk factors for past-year non-medical use of prescription opioids stratified by gender.

SETTING

Non-institutionalized US residences. Participants Civilian, non-institutionalized US citizens aged 12 years and older.

MEASUREMENTS

Self-reported alcohol and drug use, focusing specifically on past-year non-medical use of prescription opioids.

FINDINGS

Among 55 023 respondents, 4.8% reported past-year, non-medical use of prescription opioids. For both women and men, alcohol abuse/dependence and marijuana, hallucinogen, cocaine, non-medical stimulant and sedative/tranquilizer use were associated with past-year non-medical use of prescription opioids. Among women but not men, first use of illicit drugs beginning at 24 years or older [adjusted odds ratios (AOR) 1.90, 95% CI 1.05-3.44], serious mental illness (AOR 1.67, 95% CI 1.29-2.17) and cigarette smoking (AOR 1.33, 95% CI 1.05-1.68) were associated with past-year non-medical use of prescription opioids. Among men but not women, past-year inhalant use (AOR 1.93, 95% CI 1.28-2.92) was associated with the outcome.

CONCLUSIONS

For both women and men, illicit drug use is associated with the non-medical use of prescription opioids. Additionally, certain factors associated with the non-medical use of prescription opioids are notably gender-specific. Clinicians should recognize that patients with a history of illicit substance use or misuse of other prescription medications are at increased risk for non-medical use of prescription opioids, and that gender-specific factors can help to identify individuals at greatest risk.

Neuropsychiatric Effects of Prescription Drug Abuse

Prescription drugs have become a major category of abused substances, and there is evidence that the prevalence of prescription drug abuse may soon overtake that of illicit drugs. Study of prescription drugs has been hampered by vague terminology, since prescription drugs are only separated from other drugs of abuse by social and legal constructs. Reviewed herein is published literature on the abuse of four major categories of abused prescription drugs: sedative-hypnotics, stimulants, anabolic steroids, and anticholinergics. The review emphasizes evidence regarding the effects of these drugs on neural systems. Other abused prescription drugs that fall outside of the major categories are also briefly addressed.