CONSEQUENCES OF ILLICIT DRUG USE ON HEALTH, FAMILY AND SOCIAL PROBLEMS
Kari Poikolainen
Finnish
Foundation for Alcohol Studies, P.O. Box 220, FIN‑00531 Helsinki, Finland
Last updated June 25, 2002
Source: http://www.kolumbus.fi/kari.poikolainen/
Also published partly in: Poikolainen K. Quién pierde en esa apuesta:
consecuencias del consumo de las drogas, In: La Drogadicción en México - indiferencia o prevención, ING Seguros,
2001, pp. 175-194.
Introduction
It is difficult to estimate the health and social risks related to any
specific illicit drug. First, the users are not eager to tell about their
clandestine activities. Secondly, the active drug dose in the street
merchandise varies greatly. Thirdly, users of illicit drugs seldom stick to
only one substance. Multiple use of illicit drugs,
alcohol and tobacco is common. For example, at the end of a 33‑year
follow‑up of narcotic addicts in California, 20.7% tested positive for
heroin and 9.5% refused urine testing, 66.9% reported tobacco use, 22.1% were
daily alcohol drinkers, 40.5% reported past‑year heroin use, 35.5%
marijuana, 19.4% cocaine, 10.3% crack, 10.3% and 11.6% amphetamine use. The
group also reported high rates of health problems, mental health problems, and
criminal justice system involvement (Hser et al.,
2001).
The risks are not only related to the drugs used, but also to the route
of administration (oral, nasal, parenteral),
technique of injecting (sterile, non‑sterile), sexual behaviour
(protected, non‑protected), coexisting diseases (psychiatric, other) and
subculture of drug users (criminal, marginalised, affluent). There are several
types of drug users. For example, a Swedish study divided drug addicts into
four categories. The largest one was characterized by an early onset of crime
and deviance in adolescence, higher alcohol intake and more difficult childhood
and adolescence conditions than in the other groups. Another group had fewer
recorded acts of juvenile delinquency, and drug abuse was started later in
life. Both these two groups had strong subcultural
affiliation. The third group had weak subcultural
affiliation and low crime rates. The fourth group was on the average
emotionally unstable, had the best education, job situation and social
relations and little or no criminality but reported mental and emotional
problems (Byqvist and Olsson, 1998).
Risk of dependence
It is clear that use of a drug is a necessary cause for the onset of
drug dependence. It is not sufficient, however. Genes, education, peer
influences, availability of drugs and societal environment also play a role.
Little is known about the risk of becoming dependent on a drug once one has
tried it. Approximate estimates on risk are available from the U.S. National Comorbidity Survey, a probability sample of U.S. civilian
population aged from 15 to 54 years (Anthony et al., 1994). According to
the CIDI interview system, which may overestimate rates, the lifetime risk is
as follows:
‑ cannabis 10%
‑ alcohol 15%
‑ opioids 23%
‑ nicotine 32%
During the Vietnam war, 47% of a random sample
of U.S. soldiers who tried narcotics, mainly heroin or opium, became addicted.
However, only 3.5% of those who felt to be addicted in Vietnam continued to
feel addicted after returning home, and of those who ever injected drugs in
Vietnam, 8.8% were interested in treatment after returning home (Robins et
al., 1974). An analysis of the ECA Study in the U.S. found out that the
earlier illicit drug use begins and the longer it lasts, the higher the
likelihood of problems (Anthony and Petronis, 1995).
Mortality
Mortality is high among narcotic addicts who come to treatment because
of their dependence. A large Swedish study found that after hospital treatment
the death rate was 2.4% annually. Men had slightly higher mortality than women.
This cohort consisted of the most severe cases 30‑40% of all illicit drug
misusers. Compared with general population,
indirectly standardized mortality ratio was 22‑fold among opioid users, 10‑fold among amphetamine users, 7‑fold among both cannabis users and multiple drug
users (Adamsson Wahren et
al., 1997). It should be noted that the drug refers here to the main cause
of dependence during the index treatment episode. Other drugs may also have
been used. Mortality among (mostly injecting) patients treated for opioid dependence has varied from 0.2 to 4.4 % annually
between studies in various countries (Sanchez‑Carbonell
and Seus, 2000). Mortality among untreated street
addicts is likely to be higher than among those in treatment. In Sweden, the
annual death rate among narcotic addicts either in no treatment or short‑term
drug treatment was found to be 7.2% in the years 1979‑1984; during a
longer follow‑up period between the 1967‑1988 annual death rate
among addicts in methadone maintenance treatment was 1.4% (Grönbladh
et al., 1990). The difference in death rates between these two series
was entirely due to heroin‑related overdoses. Mode of administration and
the level of know‑how in heroin use may influence the mortality rates in
addict populations. There is no adequately controlled randomized study on the
effectiveness of methadone maintenance treatment. However, the variation in
death rates among addicts in or without methadone maintenance treatment
reported in the literature suggests that this treatment reduces mortality among
addicts (Barnett, 1999). The major causes of death among narcotic addicts are
accidental overdoses, other accidents, suicide, homicide and infectious
diseases.
It should be noted that narcotic addicts who come to treatment are
likely to be the most severely addicted group of all. Drug users in the general
population are likely to had lower risk of death. Addicts registered by law to
the Home Office in England and Wales contain a good deal of addicts who are not
in treatment. In this population, mortality in the age‑group 15‑19
years was 0.13% for men and 0.09% for women. Of all deaths, 24% were due to
methadone and 21% due to heroin overdose. During a 20‑year follow‑up,
the mortality rates in this cohort were 0.52% for men and 0.35% for women (Oyefeso et al., 1999). The U.S. Epidemiologic Catchment Area study compared never drug users with drug
users and adjusted for age, sex, race, and smoking. The relative risk of death
for persons who met the Diagnostic Interview Schedule criteria for drug
dependence and reported using drugs less than five times a week was 1.7 (95%
confidence interval 1.0, 2.9) and for daily users 2.0 (1.0, 4.0) (Neumark et al., 2000). These relative risks are
considerably less than the age‑and‑sex‑adjusted 7‑22‑fold
risks for treated narcotic addicts. Further adjustment for social factors and
alcohol intake might additionally decrease the risk estimates. A U.S. study
found that mortality among addicts after treatment was increased by alcohol
use, age and religious activity (Joe et al., 1982).
Morbidity and social problems
All major illicit drugs may cause poisonous overdose, dependence and
withdrawal syndrome. There is clear evidence that non‑sterile injection
of any drug may cause AIDS, hepatitis B, hepatitis C, infective endocarditis and other infectious diseases (English et
al., 1995). Drug addicts with hepatitis C infection commonly drink alcohol
although this increases the risk of liver cirrhosis and liver cancer. A British
study found out the methadone maintenance patients aware of being hepatitis
virus C (HVC) positive drank only slightly less alcohol than those who were HVC
negative (McCusker, 2001).
Drugs can be a part of the glamorous life of the rich and famous and
they can be a part of a criminal subculture. The rich are likely to suffer from
dependence and withdrawal symptoms, the poor are likely to have additional
problems related to violence, mental health and crime. The latter problems are
seldom directly due to drug effects. Rather, the risk of violence is increased
by aggressive personality, interpersonal conflict, and expectations of drug
effects. Mental disorders may predispose to drug use. Criminal behaviour often
starts earlier in life than drug use, and increases because of the need to
finance drug use (Physicians, 2000).
Opioids. There is some limited evidence that
opioid use causes antepartum
hemorrhage, low birthweight,
perinatal deaths and suicide (English et al.,
1995) . A study on patients in methadone maintenance
treatment in the U.S.A. showed that crime patterns established before opioid addiction tended to persist throughout the addiction
career and were intensified by addiction (Nurco et
al., 1989).
Stimulants. There is clear evidence that both cocaine and
all major amphetamine derivatives can cause a withdrawal syndrome and
psychosis. There is some evidence that the long‑term, heavy use of
"ecstasy" (MDMA or 3,4‑methylenedioxymethamphetamine)
may cause sleep disorders, depressed mood, persistent anxiety, impulsiveness
and hostility, and selective impairment of episodic memory, working memory and
attention. The cognitive deficits may persist for at least 6 months after
abstinence (Morgan, 2000) . There is some limited
evidence that cocaine use causes antepartum hemorrhage and low birthweight
(English et al., 1995) . Among U.S. men,
chronic cocaine use has been found to increase physical health problems, controlling
for prior health status, current cocaine use, use of other drugs and sociodemographic characteristics. In turn, poor health
contributed to continued cocaine use (Chen et al., 1996) . Cocaine use has also been found to increase the risk of
syphilis even when adjusted for other risk factors, such as the number of
sexual partners and frequency of sex with prostitutes (Rolfs et al.,
1990) . Cocaine exposure during pregnancy has been
found to be unrelated to the school‑age intelligence of the child (Wasserman
et al., 1998).
Cannabis. Cannabis products have become more potent during the last three decades,
which undermines the value of early research in the assessment of the effects
of cannabis. The most potent psychoactive substance in cannabis products is
delta‑9‑tetrahydrocannabinol (THC). In the 1970's, a reefer
contained on the average 10 mg of THC, at present the content may be 15‑30‑fold
(Ashton, 2001).
A follow‑up study of adolescents in the U.S.A. found, after
adjusting for sex, race, degree of risk taking, disciplinary problems in
school, working 1‑10 hours per week, drinking on 1‑2 days during
the past month, and involvement in sports, that lifetime use of marijuana equal
to 1‑5 occasions was related to increased incidence of injuries
(Alexander et al., 1992). Flight simulation has showed that aircraft
piloting performance is decreased (Leirer et al.,
1991). Driving simulator studies have shown that cannabis worsens driving
ability. This is often consciously compensated by slowing down the speed. The
latter might explain why culpability studies have found no evidence that
cannabis alone increases the risk of road traffic fatalities or injuries
needing hospital treatment (Bates and Blakely, 1999). There is inadequate
evidence that cannabis causes schizophrenia or low birthweight
(English et al., 1995) . Long‑term use
may increase the risk of chronic bronchitis and constructive obstructive
pulmonary disease. Cannabinoids are carcinogenic but
the risk of laryngeal, pharyngeal or lung cancer remains unknown (Van Hoozen and Cross, 1997) . A large
follow‑up study of African American and Puerto Rican adolescents found
that early adolescent marijuana use increased the risk in late adolescence of
not graduating from high school, delinquency, having multiple sexual partners,
not always using condoms, perceiving drugs as not harmful, smoking tobacco and
marijuana, drinking alcoholic beverages, and having more friends who exhibit
deviant behaviour. These risks were controlled for age, sex, ethnicity, and,
when available, earlier psychosocial measures (Brook et al., 1999) . Cannabis use has been found to weaken educational
achievement in school and learning of new things (Tanner et al., 1999) . This is in agreement with neuropsychological findings
suggesting that some executive functions, mainly attentional
behaviour, visual analysis and hypothesis testing seem to be impaired because
of prenatal cannabis exposure (Fried and Smith, 2001).
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